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Sustainable Security Management and Analysis of Engineering and Information by Data-Driven

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (1 March 2023) | Viewed by 31057

Special Issue Editors

Dr. Yuantian Sun

E-Mail Website
Guest Editor
School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Interests: data analysis using AI and ML; recycling; engineering materials; numerical modeling; simulation
Special Issues, Collections and Topics in MDPI journals
Dr. Kui Wu

E-Mail Website
Guest Editor
School of Science, Xi’an University of Architecture and Technology, Xi’an 710055, China
Interests: engineering simulation; theoretical analysis of data; new techniques in geological hazard modeling
Dr. Bo Hu

E-Mail Website
Guest Editor
School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
Interests: engineering modeling; data management; information processing

Special Issue Information

Dear Colleagues,

The rapid development of engineering and technology is finally bringing about the data explosion that people have been dreaming of for decades. Social media platforms such as Twitter, YouTube, Weibo, Facebook, Wechat, etc., and the engineering cases such as subway, tunnels, bridges, highways, etc., have been involved by monitoring and producing large volumes of data. There is no doubt that how to sustainably manage and analyze the information obtained for these areas and how to continually instruct the engineering development is an important question for the modern world.

Many studies have been undertaken to utilize the data for analyzing based on extracting knowledge from engineering and information fields. For instance, data mining is paying maximum attention to information processing. Supercomputers with super capacity for calculation and simulation are trying to deal with the problems of large engineering data, i.e. climate simulation, geological hazard modeling, and the whole life cycle of engineering simulation. The data science approach and data-driven analysis have been the main tendency for solving big data questions and guiding security management for the  decision-makers.

Given the above-described phenomenon, this Special Issue calls for papers that employ the data-driven method to enrich the knowledge of engineering and information. Topics of interest for this Special Issue include:

  • Security management from a sustainability perspective;
  • Big data in engineering;
  • Social media analysis by a data-driven approach;
  • Sustainable analysis of engineering;
  • Simulation interpretation;
  • Stability analysis of engineering;
  • Numerical modeling in engineering and information;
  • Information interpretation;
  • Sudden pandemic on data evolution;
  • Impact of COVID-19 on information;
  • Data-driven methods on data sustainability;
  • Artificial intelligence and machine learning in engineering;
  • Data-driven techniques, innovations, and trends.

Nevertheless, the call is broad in its scope and may include many other related themes not mentioned above.

Dr. Yuantian Sun
Dr. Kui Wu
Dr. Bo Hu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • machine learning
  • data mining
  • text mining
  • data driven
  • data analysis
  • simulation
  • numerical modelling
  • sustainable management
  • security of engineering and information
  • stability analysis

Published Papers (15 papers)

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Research

22 pages, 4079 KiB  
Article
Identifying and Predicting Trends of Disruptive Technologies: An Empirical Study Based on Text Mining and Time Series Forecasting
by Minhao Xiang, Dian Fu and Kun Lv
Sustainability 2023, 15(6), 5412; https://doi.org/10.3390/su15065412 - 18 Mar 2023
Cited by 5 | Viewed by 2455
Abstract
Disruptive technologies are related to a country’s competitiveness and international status. Accurately identifying and predicting the trends in disruptive technologies through scientific methods can effectively grasp the dynamics of technological development, adjust the national science and technology strategic layout, and better seize the [...] Read more.
Disruptive technologies are related to a country’s competitiveness and international status. Accurately identifying and predicting the trends in disruptive technologies through scientific methods can effectively grasp the dynamics of technological development, adjust the national science and technology strategic layout, and better seize the high ground in international competition. Based on patent text data, this paper uses the improved LDA2Vec model combined with relevant indicators to identify the main topics in disruptive technologies, and predicts and analyzes the development trend through the establishment of an ARIMA model. Taking the energy technology field as an example, the main topics and development trends concerning disruptive technologies in this field are obtained. The study found that ten technologies, including energy storage technology, energy internet management technology, and offshore wind energy technology, are disruptive technologies in the energy technology field, and the development speed of energy storage technology is the fastest. To verify the correctness of the conclusion, this paper compares the results with artificial verification methods such as expert interviews and document verification, and finds that the two are basically consistent, thus verifying the effectiveness and feasibility of the proposed method. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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14 pages, 4923 KiB  
Article
Safety Analysis of Rebar Corrosion Depth at the Moment of Corrosion-Induced Cover Cracking
by Hui Jiang, Shengcheng Wang, Yaqun Ren, Yan Li, Shaolei Song and Yanting Qin
Sustainability 2023, 15(3), 2491; https://doi.org/10.3390/su15032491 - 30 Jan 2023
Viewed by 1314
Abstract
Concrete cover cracking induced by reinforcement corrosion is an important indication of the durability limit state for reinforced concrete (RC) structures and can be used to determine the structural service life. The process of rebar corrosion from the beginning of rusting to the [...] Read more.
Concrete cover cracking induced by reinforcement corrosion is an important indication of the durability limit state for reinforced concrete (RC) structures and can be used to determine the structural service life. The process of rebar corrosion from the beginning of rusting to the occurrence of cover cracking due to corrosion expansion can be divided into two phases: the phase of the free expansion of the corrosion product and the phase of cover cracking. Based on the assumption of the uniform corrosion of the reinforcement, one model for predicting the reinforcement corrosion depth from corrosion initiation to cover cracking was established according to the cylindrical cavity expansion theory. The main factors affecting the reinforcement corrosion depth were analyzed. The main factors affecting the corrosion depth of reinforcement were analyzed. The quantitative sensitivity analysis of the factors influencing the calculation formula shows that the depth of reinforcement corrosion and the thickness of the concrete protective layer are approximately linearly increasing, with a growth rate of 0.2366 μm/mm; the diameter of the reinforcement is approximately linearly decreasing, with a decrease rate of 0.2122 μm/mm; the volume expansion rate of rust is approximately power function decreasing; the overall influence range of the yield criterion selection parameter is 0.15 μm; for the concrete strength grade, the overall influence range is 0.1 μm. The coefficient of determination R2 is 0.87, and the overall accuracy of the calculated formula is high, which can be used to predict the service life of reinforced concrete structures and guide the durability design in combination with the research results on the corrosion rate of reinforcement under different environments. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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20 pages, 16390 KiB  
Article
Simulation Study on Spatial Form of the Suspended Roof Structure of Working Face in Shallow Coal Seam
by Yanpeng He and Qingxiang Huang
Sustainability 2023, 15(2), 921; https://doi.org/10.3390/su15020921 - 4 Jan 2023
Cited by 1 | Viewed by 974
Abstract
Longwall fully comprehensive mechanized mining is mainly used for the working faces of shallow coal seam with large mining height, which usually have a large suspended roof at the face end. The overhang at the face end leads to stress concentration, which affects [...] Read more.
Longwall fully comprehensive mechanized mining is mainly used for the working faces of shallow coal seam with large mining height, which usually have a large suspended roof at the face end. The overhang at the face end leads to stress concentration, which affects the safe mining of the working face. In this paper, we use the 15210 working face with a suspended roof (overhanging area 50~70 m2) of the Zhangjiamao coal mine as study background, with physical simulation, numerical calculation and theoretical analysis, the spatial morphologies and changes in the roof structure at the face ends of the working face in shallow coal seam are obtained, in which the suspended roof increase from the bottom to top, forming step-laminated structures. The caving interval of the suspended roof at the face end is about two times the period weighting interval, and the suspended roof area at the tailgate is smaller than at the headgate. The distribution of the shear and the principal stress field at the face-end region is arc-shaped, and the distribution of the plastic zone shows that the collapse of a suspended ceiling has obvious hysteresis. According to the simplified analysis of the Marcus plate, when the layers of the stepped curved triangular plates increase, the length of the suspended roof on the solid coal side also increases, which is consistent with the results of the physical simulation and numerical calculations. The formation mechanism of the roof at the end of the working face provides a research foundation for the control of roofs found at face ends and further improves the theory of roof structure and the safety mining of suspended roof areas. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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14 pages, 1077 KiB  
Article
Freezing Damage to Tunnels in Cold Regions and Weights of Influencing Factors
by Shuguang Li, Yanjun Shen, Jianhua Dong, Wen Ma, You Lv, Shaoqiang Ren, Jiangsheng Xie, Shengli Ji, Jianping Xu and Xingli Wang
Sustainability 2022, 14(21), 14637; https://doi.org/10.3390/su142114637 - 7 Nov 2022
Cited by 2 | Viewed by 1742
Abstract
Concrete materials are widely used in tunnel engineering. In China, the cold regions have gradually become the main area for highway and railway construction. Affected by high altitude, low temperature, turbulent wind, and other conditions, freezing damage, such as tunnel icing, occurs in [...] Read more.
Concrete materials are widely used in tunnel engineering. In China, the cold regions have gradually become the main area for highway and railway construction. Affected by high altitude, low temperature, turbulent wind, and other conditions, freezing damage, such as tunnel icing, occurs in concrete materials, which seriously affects the quality and operational safety of tunnels in cold regions. Therefore, it is necessary to carry out a quantitative analysis of various factors affecting freezing damage to protect concrete materials in tunnels. This paper summarizes various freezing damage phenomena in tunnels in cold regions and divides them into three types: water seepage and hanging ice type freezing damage, lining interface type freezing damage, and tunnel foundation ice accumulation type freezing damage. Based on the qualitative evaluation of each factor, the affiliation of each factor was divided. Then, the influence weight of each factor on freezing damage was obtained through the analytic hierarchy process, and then each factor was ranked. This study is helpful to the selection of anti-freezing measures for tunnels in cold regions. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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14 pages, 4289 KiB  
Article
The Changing Tendency and Association Analysis of Intelligent Coal Mines in China: A Policy Text Mining Study
by Xiaofang Wo, Guichen Li, Yuantian Sun, Jinghua Li, Sen Yang and Haoran Hao
Sustainability 2022, 14(18), 11650; https://doi.org/10.3390/su141811650 - 16 Sep 2022
Cited by 16 | Viewed by 2228
Abstract
The intellectualization of coal mines provides core technical support for the high-quality development of the coal industry. Intelligent texts, especially intelligent policy documents, play an extremely important role in analyzing the trend of intelligent policies in coal mines. This paper collects more than [...] Read more.
The intellectualization of coal mines provides core technical support for the high-quality development of the coal industry. Intelligent texts, especially intelligent policy documents, play an extremely important role in analyzing the trend of intelligent policies in coal mines. This paper collects more than 50 central and local intelligent coal mine policy texts from recent years. The method of text analysis is a tool used for text mining, and semantic networks are generated; it reflects that the policy mainly focuses on promoting large-scale equipment and platform integration, to promote the overall goal of safe, efficient, and intelligent development of coal mining. By analyzing the high-frequency words of the policy from 2016 to 2022, it reflects that the policy trend mainly goes through the following three stages: firstly, eliminate backward enterprises, encourage coal mine automation and mechanization; then, standardize the basic concept of coal mine intellectualization, carry out the transformation of coal mine intellectualization; and the third stage is to promote the application of key technologies of intellectualization, build intelligent demonstration coal mines and reach the acceptance stage, and promote the further development trend of coal mine intellectualization. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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23 pages, 4331 KiB  
Article
Development Law of Mining Fracture and Disaster Control Technology under Hard and Thick Magmatic Rock
by Quansen Wu, Fengjun Han, Shengjian Liang, Fanxing Sun, Daqing Wan, Huairui Su, Fuwu Ma and Quanlin Wu
Sustainability 2022, 14(18), 11140; https://doi.org/10.3390/su141811140 - 6 Sep 2022
Cited by 1 | Viewed by 1153
Abstract
Hard and thick magmatic rocks are widely distributed in many mining areas in China. Their fracture migration could cause mechanical effects such as the evolution of overburden structure, the sudden change of surface subsidence, and the transformation of accumulated elastic properties, inducing strong [...] Read more.
Hard and thick magmatic rocks are widely distributed in many mining areas in China. Their fracture migration could cause mechanical effects such as the evolution of overburden structure, the sudden change of surface subsidence, and the transformation of accumulated elastic properties, inducing strong dynamic phenomena and even coupled geo dynamic disasters. In this study, by means of theoretical analysis and similar material simulation testing, the fracture of hard thick magmatic rock and the fracture development characteristics of stope are analyzed, and the following research results are obtained: (1) the mechanical model of an elastic foundation beam is established, and it is found that the bending moment in the middle of hard thick magmatic rock is greater than the bending moment at the end, and the magmatic rock first produces fractures in the middle, and then the initial fracture occurs. (2) The existence of hard thick magmatic rock blocks the development of fractures in the longitudinal direction. The bed separation and fracture undergo three processes of generation, development and closure. When the working face advances 160 m, 200 m and 270 m, the maximum bed separation shape on the strike section experiences triangle trapezoid crescent shape. (3) A ladder type fissure channel is formed above the working face side and the open cut hole side. When the working face is advanced 160 m, the ladder type fissure channel develops to the bottom of the hard thick rock layer, providing a ladder type channel for gas flow. After the hard thick rock layer is broken, a large number of elastic properties are released, which produces a strong impact force on the gas rich area of the bed separation, and also causes a sharp rise in the gas pressure of the bed separation at the bottom of the magmatic rock. A large amount of high-pressure gas in the bed separation space flows reversely to the working face along the ladder type gas channel, which can easily induce a gas outburst, coal and gas outburst or other disasters. (4) The correctness of the similar simulation experiment is verified by the field data. Technical measures for preventing gas outbursts in bed separation by surface drilling and pressure relief gas extraction are put forward. The research results have a certain guiding role for the prevention and control of dynamic disasters and the design of roadway support under the condition of a hard and thick key stratum overlying the working face. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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18 pages, 22131 KiB  
Article
R-LIO: Rotating Lidar Inertial Odometry and Mapping
by Kai Chen, Kai Zhan, Fan Pang, Xiaocong Yang and Da Zhang
Sustainability 2022, 14(17), 10833; https://doi.org/10.3390/su141710833 - 30 Aug 2022
Cited by 2 | Viewed by 2631
Abstract
In this paper, we propose a novel simultaneous localization and mapping algorithm, R-LIO, which combines rotating multi-line lidar and inertial measurement unit. R-LIO can achieve real-time and high-precision pose estimation and map-building. R-LIO is mainly composed of four sequential modules, namely nonlinear motion [...] Read more.
In this paper, we propose a novel simultaneous localization and mapping algorithm, R-LIO, which combines rotating multi-line lidar and inertial measurement unit. R-LIO can achieve real-time and high-precision pose estimation and map-building. R-LIO is mainly composed of four sequential modules, namely nonlinear motion distortion compensation module, frame-to-frame point cloud matching module based on normal distribution transformation by self-adaptive grid, frame-to-submap point cloud matching module based on line and surface feature, and loop closure detection module based on submap-to-submap point cloud matching. R-LIO is tested on public datasets and private datasets, and it is compared quantitatively and qualitatively to the four well-known methods. The test results show that R-LIO has a comparable localization accuracy to well-known algorithms as LIO-SAM, FAST-LIO2, and Faster-LIO in non-rotating lidar data. The standard algorithms cannot function normally with rotating lidar data. Compared with non-rotating lidar data, R-LIO can improve localization and mapping accuracy in rotating lidar data. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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14 pages, 4174 KiB  
Article
The Impact of Shanghai Epidemic, China, 2022 on Public Psychology: A Sentiment Analysis of Microblog Users by Data Mining
by Zuqi Wang and Yanting Qin
Sustainability 2022, 14(15), 9649; https://doi.org/10.3390/su14159649 - 5 Aug 2022
Cited by 2 | Viewed by 1706
Abstract
The Shanghai epidemic (COVID-19) is another large-scale epidemic in China’s central cities in the post-epidemic era from the end of March 2022. It is of great significance to study the public’s attitude towards the Shanghai epidemic to support healthy psychology and a positive [...] Read more.
The Shanghai epidemic (COVID-19) is another large-scale epidemic in China’s central cities in the post-epidemic era from the end of March 2022. It is of great significance to study the public’s attitude towards the Shanghai epidemic to support healthy psychology and a positive attitude. This study used crawler technology to obtain the Weibo data related to the epidemic situation in Shanghai that was published by users. The crawled microblogs were preprocessed, and the BosonNLP sentiment dictionary for attitude classification was selected. The Chinese vocabulary ontology for 21 emotion classifications was also used. The results showed that the general attitude of the public in Shanghai was positive. This fluctuated greatly in the initial stage and gradually increased in the later stage. Through text mining, it is clear that goods and materials, nucleic acid virus testing, and other aspects of the epidemic in Shanghai are concerning for the public. The public attitude in areas that are close to the epidemic center is relatively more negative. The study can provide references for policymakers to fight COVID-19 by improving public attitude and solving urgent matters. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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16 pages, 4877 KiB  
Article
Experimental Study on the Shear Mechanical Properties of Anchor Cable with C-Shaped Tube
by Renliang Shan, Weijun Liu, Gengzhao Li, Chen Liang, Shuguo Shi, Ye Chen and Shupeng Zhang
Sustainability 2022, 14(15), 9616; https://doi.org/10.3390/su14159616 - 4 Aug 2022
Cited by 5 | Viewed by 1370
Abstract
Faced with serious tensile–shear fracturing of anchor bolts and cables in deep roadways, it is of great significance to investigate Anchor Cable with C-shaped tube (ACC), a combined structure of a C-shaped tube and an anchor cable with high strength and shear resistance. [...] Read more.
Faced with serious tensile–shear fracturing of anchor bolts and cables in deep roadways, it is of great significance to investigate Anchor Cable with C-shaped tube (ACC), a combined structure of a C-shaped tube and an anchor cable with high strength and shear resistance. The shear mechanical properties of the anchor cable and ACC are systematically investigated using the technical means of theoretical analysis and double-shear tests. The improved equipment for a double-shear test not only considers the initial normal stress but also ensures the continuity of the anchor cable’s axial force transmission while considering the influence of the inclination angle on the shear performance of supporting components. The research indicates that the C-shaped tube inhibits the occurrence of stress concentration near the joint surface and improves the stress state of the anchor cable, transforming its failure mode from tensile–shear failure to tensile failure. Compared with the anchor cable, ACC has a higher shear capacity, greater shear stiffness and better ductility in the shear direction. The shear capacity of ACC is higher when it is perpendicular to the joint plane than when inclined to 80°, and the shear capacity of the joint plane is linear with the initial normal stress. Two methods were proposed to contrast the shear capacity between the anchor cable and ACC, including the shear capacity of supporting components and the shear capacity of the joint surface. The former is to evaluate the shear capability of the anchor cable and ACC, while the latter is to evaluate the ability of the anchor cable and ACC to control the shear deformation of the joint surface. The tests results show that the average shear capacity of ACC is 279 kN higher than the anchor cable, with an average increase of 34.9%. The average shear capacity of the joint surface anchored by ACC is 306 kN higher than the anchor cable, with an average increase of 25.2%. ACC can effectively improve the shear capacity of the anchor cable in the free section and has wide application prospects. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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19 pages, 8568 KiB  
Article
Damage Data Analysis of Deep Coal Roadway Roof and Application of Long Anchorage and Zone Linkage Support Technology
by Yang Wang, Nong Zhang, Wenda Wu, Juncai Cao, Yu Guo and Donghong Duan
Sustainability 2022, 14(13), 8092; https://doi.org/10.3390/su14138092 - 1 Jul 2022
Cited by 3 | Viewed by 1224
Abstract
China’s energy structure mainly depends on coal resources, which will still play the dominant role in economic development in the future. With the mining depth increasing, the deep roadway construction will be exposed to a complex stress environment, increasing the difficulty of roof [...] Read more.
China’s energy structure mainly depends on coal resources, which will still play the dominant role in economic development in the future. With the mining depth increasing, the deep roadway construction will be exposed to a complex stress environment, increasing the difficulty of roof control and further hindering the mining activities. The problem of deep roadway excavation causing significant fracture scope of surrounding rock in and outside the anchorage zone has attracted much attention. For the large crack scope existing in the roadway roof of deep underground openings, this paper focuses on the exploration of upgrading the support system. In order to solve this problem, we investigated the zone damage of the roadway roof with the discrete element model using the UDEC trigon method and damage quantified evaluation with data analysis. The long anchorage and zone linkage support technology was proposed based on the damage control effect of varying lengths of supporting bolts. The purpose of extending the length of bolts is to link the more severely damaged rock mass in the shallow part to the minimum damaged part in the deep place, aiming to form the thick anchor zone to mobilize the rock mass in each zone to participate and bear the load together. Furthermore, the onsite application of long anchorage and zone linkage technology gained good control effects in the selected typical roadway with different geological conditions. The results show obvious resistance in cross-section shrinkage, integrity maintenance, and minimization of crack scope in the roadway roof. The promotion of long anchorage zone linkage technology can help the mine with similar situations uplift the efficiency of working and guarantee the safety of miners during mine service life in the deep coal roadway. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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14 pages, 3501 KiB  
Article
Study on Splitting Damage Characteristics of a Rock–Shotcrete Interface Subjected to Corrosive Water
by Sisi Tian, Yanjun Shen, Shuguang Li, Wen Ma, You Lv and Xueting Li
Sustainability 2022, 14(9), 4987; https://doi.org/10.3390/su14094987 - 21 Apr 2022
Viewed by 1099
Abstract
Splitting tensile real time acoustic emission tests were carried out on rock–shotcrete binary specimens under the action of different corrosive waters in different periods. The effect of corrosion on the damage process of the binary interface was studied from a mesoscopic point of [...] Read more.
Splitting tensile real time acoustic emission tests were carried out on rock–shotcrete binary specimens under the action of different corrosive waters in different periods. The effect of corrosion on the damage process of the binary interface was studied from a mesoscopic point of view. The results showed that the physical and chemical properties of the binary specimens were changed due to corrosion, resulting in a decrease in the tensile strength. Moreover, the corrosion effect of the acid solution is relatively strong throughout the whole corrosion cycle. It can be seen that the acoustic emission signal can reflect the interface microcrack propagation and inoculation process from the stress–strain curve, the ringing count, and the cumulative energy correspondence. Furthermore, the peak point of each parameter decreases with deepening the corrosion degree in different corrosive environments. The same-step variation in numerical value can provide certain early warning information. The application of acoustic emission B value indicates that the failure mode of the interface of the binary body develops from the failure of large internal cracks to the failure of continuous small cracks as the corrosion intensifies. The damage model established based on acoustic emission cumulative ringing count can better characterize the coupling relationship between corrosion-load-damage of the binary. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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17 pages, 6194 KiB  
Article
A Threshold Model of Tailings Sand Liquefaction Based on PSO-SVM
by Jiaxu Jin, Shihao Yuan, Hongzhi Cui, Xiaochun Xiao and Baoxin Jia
Sustainability 2022, 14(5), 2720; https://doi.org/10.3390/su14052720 - 25 Feb 2022
Cited by 2 | Viewed by 1584
Abstract
The liquefaction of tailings sand caused by seismic loads is a major problem in ensuring the safety of tailings ponds. Liquefaction may cause uncontrolled fluidized failure of the dam body, causing considerable damage to the lives, property and environment of people downstream. In [...] Read more.
The liquefaction of tailings sand caused by seismic loads is a major problem in ensuring the safety of tailings ponds. Liquefaction may cause uncontrolled fluidized failure of the dam body, causing considerable damage to the lives, property and environment of people downstream. In this paper, a prototype tailings sand is used as the material to consider the main factors affecting liquefaction (i.e., dynamic load, soil quality, burial and static conditions). By embedding acceleration, pore pressure and earth pressure sensors in the rigid design of the self-designed rigid model box, different types of seismic waves of different ground motion amplitudes (PGA) were induced in a shaking table test of tailings sand liquefaction. The seismic intensity, waveform (class II, III and IV seismic waves) and active earth pressure of the PGA characterizing dynamic factors were obtained, and the static factors were characterized. The dynamic shear stress ratio, the peak acceleration of the earthquake, the pore pressure of the drainage factor and the buried depth (overlying effective pressure) characterize the soil conditions. SPSS software was used to analyze the factor dimension reduction, and the most suitable factors for factor analysis were obtained. Particle Swarm Optimization (PSO) was used to optimize the parameters, and the improved PSO-SVM algorithm was compared with the existing genetic algorithm (GA) and grid node search (GS). The algorithm used in this paper is fast and has a relatively high accuracy rate of 92.7%. The established threshold model method is of great significance to predict the liquefaction of tailings sand soil under the action of ground motions and to carry out safety managemenin advance, which can provide a certain reference for the project. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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23 pages, 2402 KiB  
Article
Critical Success Factors for Safety Program Implementation of Regeneration of Abandoned Industrial Building Projects in China: A Fuzzy DEMATEL Approach
by Qing Chai, Huimin Li, Wei Tian and Yang Zhang
Sustainability 2022, 14(3), 1550; https://doi.org/10.3390/su14031550 - 28 Jan 2022
Cited by 18 | Viewed by 3022
Abstract
The regeneration of abandoned industrial buildings (RAIBs) has received extensive attention in urban renewal efforts to achieve urban sustainable development goals. Meanwhile, the construction safety performance of RAIBs is a major challenge with increasing RAIB projects in China. Safety programs have been considered [...] Read more.
The regeneration of abandoned industrial buildings (RAIBs) has received extensive attention in urban renewal efforts to achieve urban sustainable development goals. Meanwhile, the construction safety performance of RAIBs is a major challenge with increasing RAIB projects in China. Safety programs have been considered as one of the proactive methods to effectively reduce accidents and injuries in the construction industry. Various studies have conducted critical success factors (CSFs) that influence the effective implementation of safety programs in new buildings. However, the CSFs affecting the construction safety program implementation of RAIBs were ignored. The aim of this study is to determine CSFs that affect the safety program implementation of RAIB projects. First, sixteen factors were identified combining characteristics of RAIBs with literature reviews and experts’ opinion. Second, the fuzzy set theory and decision-making trial and evaluation laboratory (DEMATEL) approach are proposed to identify the influencing degree of the factors and categorize these factors into cause-and-effect groups. Then, according to the causal diagram, management support (C1), allocation of authority and responsibility (C3), control of subcontractor (C5), personal attitude (C9), and safety inspections and hazard assessment (C14) are identified as the CSFs for the safety program implementation of RAIBs’ construction. This study guides the managers and stakeholders to especially concentrate on these CSFs in order to improve the efficiency of the safety program implementation of RAIB projects with limited resources. This study also will contribute to the improvement of safety performance and to the sustainable development goal of RAIB projects. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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19 pages, 7062 KiB  
Article
Numerical Simulation of Impact Rockburst of Elliptical Caverns with Different Axial Ratios
by Yang Wang, Xue Li, Jiyu Li and Jipeng Xu
Sustainability 2022, 14(1), 241; https://doi.org/10.3390/su14010241 - 27 Dec 2021
Cited by 1 | Viewed by 2293
Abstract
Herein, a finite discrete element method was used to simulate the rockburst phenomenon of elliptical caverns with different axis ratios. Two situations were employed, namely when the disturbance direction is perpendicular and parallel to the ellipse. Based on the peak stress, maximum velocity, [...] Read more.
Herein, a finite discrete element method was used to simulate the rockburst phenomenon of elliptical caverns with different axis ratios. Two situations were employed, namely when the disturbance direction is perpendicular and parallel to the ellipse. Based on the peak stress, maximum velocity, stress nephogram, and image fractal characteristics, the influence of axis ratio and direction of the disturbance on rockburst were analyzed. The results show that the samples with different axis ratios experienced the same process of quiet period, slab cracking period, and rockburst. The rockburst pit had V shape, and the failure modes of rockburst primarily included shear cracks, horizontal tension cracks, and vertical tension cracks. With the rise in axis ratio, the peak stress and maximum speed increased. Furthermore, the pressure area on the left and right sides of the sample cavern decreased when the disturbance direction was parallel to the short axis of the ellipse, while it increased for the sample with a disturbance direction perpendicular to the short axis. The fractal dimension value of the crack was gradually amplified with disturbance. The fractal dimension value of the sample whose disturbance direction was perpendicular to the minor axis of the ellipse was lower, and it was more difficult to damage. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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23 pages, 3669 KiB  
Article
A Bibliometric and Visual Analysis of Global Urban Resilience Research in 2011–2020: Development and Hotspots
by Ping Guo, Qin Li, Haidong Guo, Huimin Li and Lingbo Yang
Sustainability 2022, 14(1), 229; https://doi.org/10.3390/su14010229 - 27 Dec 2021
Cited by 15 | Viewed by 4246
Abstract
Urban resilience (UR), which promotes the implementation of resilient cities, has received widespread attention. The purpose of this study is to visualize the knowledge background, research status, and knowledge structure of relevant literatures by using a Citespace based scientometrics survey. The results show [...] Read more.
Urban resilience (UR), which promotes the implementation of resilient cities, has received widespread attention. The purpose of this study is to visualize the knowledge background, research status, and knowledge structure of relevant literatures by using a Citespace based scientometrics survey. The results show that UR is an increasingly popular topic, with 2629 articles published during the study period. (1) The most prolific publications and journals involved in the flourishment of UR research were identified by co-citation. The United States was the most productive contributor, with numerous publications and active institutions. Journal of Cleaner Production, Sustainability, International Journal of Disaster Risk Reduction were the three most cited journals. (2) Co-occurrence analysis was employed to determine the highly productive keywords, and subject categories in the UR domain, including “environmental science & ecology”, “environmental sciences, “science & technology”, “environmental studies”, “green & sustainable science & technology”, and “water resources”. (3) The diversity of highly cited authors in different countries and regions confirmed the evolution of UR studies. (4) Furthermore, the classification of UR knowledge was performed in the form of clusters and knowledge structure to achieve ten distinct sub-domains (e.g., Urban floods and stormwater management, Urban ecosystem services, Urban landscapes, and Trauma). This study provides an overview of UR research and research topics so that future researchers can identify their research topics and partners. Full article
(This article belongs to the Special Issue Sustainable Security Management and Analysis of Engineering and Information by Data-Driven)
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