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Structural and Earthquake Engineering
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Structural and Earthquake Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 13041

Special Issue Editor

Dr. Alessandra Fiore

E-Mail Website
Guest Editor
Assistant Professor, Politecnico di Bari, DICAR, Via Orabona 4, 70125 Bari, Italy
Interests: non-linear analysis of existing concrete and masonry buildings; bridge design; soft-computing-based optimization techniques; evolutionary polynomial regression methods; system reliability; stochastic analysis of structural models

Special Issue Information

Dear Colleagues,

The focus of this Special Issue is on structural and earthquake engineering, including linear, nonlinear, stochastic, parametric, discrete, and dynamic programming/modelling in these fields. Articles submitted to this Special Issue can also be concerned with the most significant recent developments in computational methods, soft-computing techniques, optimization, evolutionary algorithms, design under uncertainty, generative and parametric design, and their applications in structural and earthquake engineering.

This Special Issue will facilitate the exchange of ideas in topics of mutual interest within the applied science community, sharing advanced numerical methods and software tools.

Dr. Alessandra Fiore
Guest Editor

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. Applied Sciences 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

  • Nonlinear analysis
  • Stochastic analysis
  • Dynamic analysis
  • Computational methods
  • Soft-computing techniques
  • Structural optimization
  • Evolutionary algorithms
  • Design under uncertainty
  • Parametric design
  • Generative design

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Published Papers (3 papers)

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Research

20 pages, 7426 KiB  
Article
Assessment of Earthquake Destructive Power to Structures Based on Machine Learning Methods
by Ruihao Zheng, Chen Xiong, Xiangbin Deng, Qiangsheng Li and Yi Li
Appl. Sci. 2020, 10(18), 6210; https://doi.org/10.3390/app10186210 - 7 Sep 2020
Cited by 9 | Viewed by 2961
Abstract
This study presents a machine learning-based method for the destructive power assessment of earthquake to structures. First, the analysis procedure of the method is presented, and the backpropagation neural network (BPNN) and convolutional neural network (CNN) are used as the machine learning algorithms. [...] Read more.
This study presents a machine learning-based method for the destructive power assessment of earthquake to structures. First, the analysis procedure of the method is presented, and the backpropagation neural network (BPNN) and convolutional neural network (CNN) are used as the machine learning algorithms. Second, the optimized BPNN architecture is obtained by discussing the influence of a different number of hidden layers and nodes. Third, the CNN architecture is proposed based on several classical deep learning networks. To build the machine learning models, 50,570 time-history analysis results of a structural system subjected to different ground motions are used as training, validation, and test samples. The results of the BPNN indicate that the features extraction method based on the short-time Fourier transform (STFT) can well reflect the frequency-/time-domain characteristics of ground motions. The results of the CNN indicate that the CNN exhibits better accuracy (R2 = 0.8737) compared with that of the BPNN (R2 = 0.6784). Furthermore, the CNN model exhibits remarkable computational efficiency, the prediction of 1000 structures based on the CNN model takes 0.762 s, while 507.81 s are required for the conventional time-history analysis (THA)-based simulation. Feature visualization of different layers of the CNN reveals that the shallow to deep layers of the CNN can extract the high to low-frequency features of ground motions. The proposed method can assist in the fast prediction of engineering demand parameters of large-number structures, which facilitates the damage or loss assessments of regional structures for timely emergency response and disaster relief after earthquake. Full article
(This article belongs to the Special Issue Structural and Earthquake Engineering)
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22 pages, 9321 KiB  
Article
Dynamic Behavior of Pile-Supported Structures with Batter Piles according to the Ground Slope through Centrifuge Model Tests
by Jungwon Yun and Jintae Han
Appl. Sci. 2020, 10(16), 5600; https://doi.org/10.3390/app10165600 - 12 Aug 2020
Cited by 6 | Viewed by 4926
Abstract
Pile-supported structures incorporating batter piles are commonly used, and can be installed both on the horizontal and inclined ground. Recent studies have considered the positive role of batter piles during earthquakes, highlighting their satisfactory contribution to structural seismic performance. However, in these structures, [...] Read more.
Pile-supported structures incorporating batter piles are commonly used, and can be installed both on the horizontal and inclined ground. Recent studies have considered the positive role of batter piles during earthquakes, highlighting their satisfactory contribution to structural seismic performance. However, in these structures, even though the dynamic system responses can vary greatly depending on the ground slope, few previous studies have evaluated the seismic performance of batter piles relative to the ground slope. Therefore, this study evaluates the seismic performance of pile-supported structures with batter piles, relative to the ground slope using dynamic centrifuge model tests. The acceleration, displacement, moment, and axial force of the system were experimentally derived and reviewed, and the pile moment and axial force (M–N) interaction diagrams of the pile cross-sections were analyzed. The installation of the batter piles resulted in a greater reduction in the system response in the inclined-ground model (acceleration: −48%, displacement: −50%, and moment: −84%) compared to that in the horizontal-ground model (acceleration: −27%, displacement: +650%, and moment: −77%). Overall, batter piles showed better seismic performance in the inclined-ground model than in the horizontal-ground model. Full article
(This article belongs to the Special Issue Structural and Earthquake Engineering)
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13 pages, 2858 KiB  
Article
Effect of the Directional Components of Earthquakes on the Seismic Behavior of an Unanchored Steel Tank
by Rulin Zhang, Shili Chu, Kailai Sun, Zhongtao Zhang and Huaifeng Wang
Appl. Sci. 2020, 10(16), 5489; https://doi.org/10.3390/app10165489 - 8 Aug 2020
Cited by 9 | Viewed by 4404
Abstract
This paper investigates the effect of the multi-directional components of ground motion on an unanchored steel storage tank. Both the liquid sloshing effect and contact behavior between the foundation and tank are included in the study. A three-dimensional model for a foundation–structure–liquid system [...] Read more.
This paper investigates the effect of the multi-directional components of ground motion on an unanchored steel storage tank. Both the liquid sloshing effect and contact behavior between the foundation and tank are included in the study. A three-dimensional model for a foundation–structure–liquid system is numerically simulated using the finite element method. The Lagrange fluid finite element method (FEM) in ANSYS is used to consider the liquid–solid interaction. In the liquid–structure–foundation interaction model, the contact and target elements are adapted to simulate the nonlinear uplift and slip effects between the tank and the foundation. Three earthquake ground motions are selected for evaluating the seismic behavior of the tank. Comparisons are made on the horizontal displacement, “elephant-foot” deformation, stress, base shear and moment, sloshing of the liquid, uplift, as well as slip behavior under the application of the unidirectional, bi-directional and tri-directional components. Under the selected ground motions, the horizontal bi-directional seismic component has great influence on the liquid sloshing in the tank studied in this paper. The vertical seismic component produces high compressive axial stress, and it also makes the uplift and slide of the tank bottom increase significantly. The applicability of this conclusion should be carefully considered when applied to other types of ground motion inputs. Full article
(This article belongs to the Special Issue Structural and Earthquake Engineering)
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