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3,496 Results Found

  • Article
  • Open Access
18 Citations
3,470 Views
18 Pages

20 April 2023

Most research on the extraction of earthquake-caused building damage using synthetic aperture radar (SAR) images used building damage certification assessments and the EMS-98-based evaluation as ground truth. However, these methods do not accurately...

(This article belongs to the Special Issue Selected Papers from the “International Symposium on Remote Sensing 2022”)
  • Article
  • Open Access
79 Citations
6,219 Views
20 Pages

31 January 2021

The collapse of buildings caused by earthquakes can lead to a large loss of life and property. Rapid assessment of building damage with remote sensing image data can support emergency rescues. However, current studies indicate that only a limited sam...

(This article belongs to the Special Issue Advanced Application of Artificial Intelligence and Machine Vision in Remote Sensing)
  • Article
  • Open Access
12 Citations
5,002 Views
19 Pages

20 August 2021

After a major earthquake in a dense urban area, the spatial distribution of heavily damaged buildings is indicative of the impact of the event on public safety. Timely assessment of the locations of severely damaged buildings and their damage morphol...

(This article belongs to the Special Issue Optical Remote Sensing Applications in Urban Areas)
  • Article
  • Open Access
25 Citations
8,192 Views
15 Pages

4 January 2023

Synthetic Aperture Radar (SAR) remote sensing has been widely used as one of the most effective tools for responding to earthquake disasters. In general, damaged-building detection with SAR data has been conducted based on change detection using temp...

  • Letter
  • Open Access
38 Citations
5,718 Views
11 Pages

BDD-Net: A General Protocol for Mapping Buildings Damaged by a Wide Range of Disasters Based on Satellite Imagery

  • Jinyuan Shao,
  • Lina Tang,
  • Ming Liu,
  • Guofan Shao and ,
  • Lang Sun and
  • Quanyi Qiu
  • + 1 author+ 0 author

22 May 2020

The timely and accurate recognition of damage to buildings after destructive disasters is one of the most important post-event responses. Due to the complex and dangerous situations in affected areas, field surveys of post-disaster conditions are not...

  • Article
  • Open Access
5 Citations
2,879 Views
14 Pages

12 July 2025

In January 2025, a magnitude 6.8 earthquake struck Dingri County, Shigatse, Tibet, causing severe damage. Rapid and precise extraction of damaged buildings is essential for emergency relief and rebuilding efforts. This study proposes an approach inte...

(This article belongs to the Special Issue Sensing in Harsh Environments: Power, Communication and Material Challenges)
  • Article
  • Open Access
34 Citations
6,028 Views
16 Pages

Identifying Damaged Buildings in Aerial Images Using the Object Detection Method

  • Lingfei Shi,
  • Feng Zhang,
  • Junshi Xia,
  • Jibo Xie and ,
  • Zhe Zhang,
  • Zhenhong Du and
  • Renyi Liu
  • + 2 authors+ 0 author

21 October 2021

The collapse of buildings caused by the earthquake seriously threatened human lives and safety. So, the quick detection of collapsed buildings from post-earthquake images is essential for disaster relief and disaster damage assessment. Compared with...

(This article belongs to the Special Issue Remote Sensing of Natural Disasters)
  • Article
  • Open Access
136 Views
24 Pages

14 October 2026

To address the need for detecting damaged regions that develop during the long-term service of urban landscape buildings, existing vision-based detection methods are easily affected by background interference such as shadows, decorative textures, and...

(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
  • Article
  • Open Access
17 Citations
5,121 Views
23 Pages

SegDetector: A Deep Learning Model for Detecting Small and Overlapping Damaged Buildings in Satellite Images

  • Zhengbo Yu,
  • Zhe Chen,
  • Zhongchang Sun,
  • Huadong Guo and ,
  • Bo Leng,
  • Ziqiong He,
  • Jinpei Yang and
  • Shuwen Xing
  • + 3 authors+ 0 author

3 December 2022

Buildings bear much of the damage from natural disasters, and determining the extent of this damage is of great importance to post-disaster emergency relief. The application of deep learning to satellite remote sensing imagery has become more and mor...

(This article belongs to the Special Issue Urban Resilience with Remote Sensing - Observation, Measurement, Evaluation and Applications)
  • Article
  • Open Access
90 Citations
7,064 Views
16 Pages

Improved CNN Classification Method for Groups of Buildings Damaged by Earthquake, Based on High Resolution Remote Sensing Images

  • Haojie Ma,
  • Yalan Liu,
  • Yuhuan Ren,
  • Dacheng Wang and ,
  • Linjun Yu and
  • Jingxian Yu
  • + 1 author+ 0 author

11 January 2020

Effective extraction of disaster information of buildings from remote sensing images is of great importance to supporting disaster relief and casualty reduction. In high-resolution remote sensing images, object-oriented methods present problems such...

(This article belongs to the Special Issue Integrated Applications of Geo-Information in Environmental Monitoring)
  • Article
  • Open Access
25 Citations
4,546 Views
21 Pages

5 July 2024

Quickly and accurately assessing the damage level of buildings is a challenging task for post-disaster emergency response. Most of the existing research mainly adopts semantic segmentation and object detection methods, which have yielded good results...

(This article belongs to the Section Remote Sensors)
  • Article
  • Open Access
19 Citations
6,523 Views
13 Pages

6 January 2021

Since 2016, the frequency and scale of earthquakes have been rapidly increasing in South Korea. In particular, the damage caused by the Gyeongju and Pohang earthquakes has attracted considerable attention since 2017, leading to changes in social inse...

(This article belongs to the Special Issue Geo-Hazards and Risk Reduction Approaches)
  • Article
  • Open Access
18 Citations
3,902 Views
25 Pages

Earthquake-Damaged Buildings Detection in Very High-Resolution Remote Sensing Images Based on Object Context and Boundary Enhanced Loss

  • Chao Wang,
  • Xing Qiu,
  • Hai Huan,
  • Shuai Wang and ,
  • Yan Zhang,
  • Xiaohui Chen and
  • Wei He
  • + 2 authors+ 0 author

6 August 2021

Fully convolutional networks (FCN) such as UNet and DeepLabv3+ are highly competitive when being applied in the detection of earthquake-damaged buildings in very high-resolution (VHR) remote sensing images. However, existing methods show some drawbac...

(This article belongs to the Special Issue Information Retrieval from Remote Sensing Images)
  • Article
  • Open Access
31 Citations
7,220 Views
24 Pages

20 April 2017

In this research, a semi-automated building damage detection system is addressed under the umbrella of high-spatial resolution remotely sensed images. The aim of this study was to develop a semi-automated fuzzy decision making system using Genetic Al...

(This article belongs to the Special Issue Learning to Understand Remote Sensing Images)
  • Proceeding Paper
  • Open Access
7 Citations
3,201 Views
6 Pages

Post-War Building Damage Detection

  • Ali J. Ghandour and
  • Abedelkarim A. Jezzini

22 March 2018

Natural disasters and wars wreak havoc not only on individuals and critical infrastructure, but also leave behind ruined residential buildings and housings. The size, type and location of damaged houses are essential data sources for the post-disaste...

(This article belongs to the Proceedings of The 2nd International Electronic Conference on Remote Sensing)
  • Article
  • Open Access
262 Views
26 Pages

29 September 2026

To characterize regional building-stock damage arising from the combined effects of spatially varying ground motions, building vulnerability, and exposure, this study develops a building-level, multi-scenario, and multi-record seismic damage assessme...

(This article belongs to the Special Issue AI-Driven Earthquake and Multi-Hazard Vulnerability, Fragility, and Resilience Assessment of Buildings)
  • Review
  • Open Access
27 Citations
11,556 Views
24 Pages

Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings

  • Oluwatofunmi Deborah Aribisala,
  • Sang-Guk Yum,
  • Manik Das Adhikari and
  • Moon-Soo Song

25 October 2022

Flood damage assessment (FDA) is an essential tool for evaluating flood damage, vulnerability, and risk to civil systems such as residential buildings. The outcome of an FDA depends on the spatial limits of the study and the complexity of the data. F...

(This article belongs to the Special Issue Climate Change and Sustainable Disaster Management)
  • Article
  • Open Access
49 Citations
6,999 Views
14 Pages

Classification of Building Damage Using a Novel Convolutional Neural Network Based on Post-Disaster Aerial Images

  • Zhonghua Hong,
  • Hongzheng Zhong,
  • Haiyan Pan,
  • Jun Liu and ,
  • Ruyan Zhou,
  • Yun Zhang,
  • Yanling Han,
  • Jing Wang,
  • Shuhu Yang and
  • Changyue Zhong
  • + 5 authors+ 0 author

8 August 2022

The accurate and timely identification of the degree of building damage is critical for disaster emergency response and loss assessment. Although many methods have been proposed, most of them divide damaged buildings into two categories—intact...

(This article belongs to the Special Issue Data Fusion and Artificial Intelligence Applications in Remote Sensing)
  • Data Descriptor
  • Open Access
9 Citations
5,828 Views
19 Pages

Multi-Scale Earthquake Damaged Building Feature Set

  • Guorui Gao,
  • Futao Wang,
  • Zhenqing Wang,
  • Qing Zhao and ,
  • Litao Wang,
  • Jinfeng Zhu,
  • Wenliang Liu,
  • Gang Qin and
  • Yanfang Hou
  • + 4 authors+ 0 author

28 June 2024

Earthquake disasters are marked by their unpredictability and potential for extreme destructiveness. Accurate information on building damage, captured in post-earthquake remote sensing images, is critical for an effective post-disaster emergency resp...

(This article belongs to the Section Spatial Data Science for Environment and Earth)
  • Article
  • Open Access
50 Citations
6,723 Views
15 Pages

Transfer Learning for Improving Seismic Building Damage Assessment

  • Qigen Lin,
  • Tianyu Ci,
  • Leibin Wang,
  • Sanjit Kumar Mondal and ,
  • Huaxiang Yin and
  • Ying Wang
  • + 1 author+ 0 author

2 January 2022

The rapid assessment of building damage in earthquake-stricken areas is of paramount importance for emergency response. The development of remote sensing technology has aided in deriving reliable and precise building damage assessments of extensive a...

(This article belongs to the Special Issue Spatial Modelling of Natural Hazards and Water Resources through Remote Sensing, GIS and Machine Learning Methods)
  • Article
  • Open Access
5 Citations
2,911 Views
14 Pages

Research of the Critical Capitalization Rate in Building Damage Appraisal

  • Serena Artese,
  • Manuela De Ruggiero,
  • Francesca Salvo and
  • Raffaele Zinno

3 January 2022

From the perspective of building health monitoring and property management, this research proposes some parametric measures of the capitalization rate, in order to define a range of significant values to be used in a cash flow analysis intended for m...

(This article belongs to the Section Sustainable Urban and Rural Development)
  • Case Report
  • Open Access
8 Citations
6,520 Views
17 Pages

6 February 2024

The 2015 Nepal Earthquake (Mw7.8) affected more than 9000 schools in the country. Damage distribution in the 14 most-affected administrative districts shows that the construction practices were an important determent for the level of damage extended....

(This article belongs to the Special Issue Best Practices of Resilient Buildings (and Districts) and Post-disaster Reconstruction)
  • Article
  • Open Access
2,068 Views
22 Pages

Assessment of Damage Progression in Corner Buildings with Infill Walls During an Intraplate Earthquake in Mexico

  • Abel Martínez,
  • José M. Jara,
  • Juan I. López,
  • Bertha A. Olmos and ,
  • Humberto Varum and
  • Andreas Lampropoulos
  • + 1 author+ 0 author

25 February 2025

On 19 September 2017, an intraplate earthquake with a magnitude of Mw = 7.1 occurred in Mexico. Visual inspection reports following the earthquake indicated that 11% of high-risk structures and 35% of collapsed buildings were situated at block corner...

(This article belongs to the Special Issue Structural Resilience and Sustainable Development of Reinforced Concrete Structures)
  • Article
  • Open Access
13 Citations
3,294 Views
21 Pages

Numerical Simulation of Severe Damage to a Historical Masonry Building by Soil Settlement

  • Esin Ertürk Atmaca,
  • Ali Fuat Genç,
  • Ahmet Can Altunişik,
  • Murat Günaydin and
  • Barış Sevim

2 August 2023

Historical masonry structures, which constitute an important part of the historical heritage, exhibit brittle behavior under tensile stresses due to earthquakes or soil movements/settlements. Therefore, they are sensitive to deformation. The soil&nda...

(This article belongs to the Section Building Structures)
  • Article
  • Open Access
3 Citations
6,961 Views
24 Pages

Damage Prediction Observation for Existing Buildings in Sabah under Moderate Risk Earthquakes

  • Noor Sheena Herayani Harith,
  • Nur Izzati Husna Hassan,
  • Samnursidah Samir,
  • Ngui Min Fui Tom and ,
  • Nabilah Abu Bakar and
  • Habib Musa Mohamad
  • + 1 author+ 0 author

Seismic design in building construction is still new in Malaysia. Sabah, a Malaysian state, is situated southeast of the Eurasian Plate, between the highly active Philippine Sea Plate and Indo-Australian Plate, and has a history of earthquakes, with...

(This article belongs to the Special Issue Buildings and Infrastructures Performance in Seismic Events: Understanding the Impact of Earthquakes)
  • Article
  • Open Access
42 Citations
5,592 Views
23 Pages

1 June 2022

The rapid and accurate damage assessment of buildings plays a critical role in disaster response. Based on pairs of pre- and post-disaster remote sensing images, effective building damage level assessment can be conducted. However, most existing meth...

(This article belongs to the Special Issue Advances in Artificial Intelligence: Data, Methods and Interdisciplinary Applications)
  • Article
  • Open Access
18 Citations
20,922 Views
18 Pages

The 2011 Earthquake in Simav, Turkey and Seismic Damage to Reinforced Concrete Buildings

  • Adem Doğangün,
  • Ali Ural,
  • Halil Sezen,
  • Yücel Güney and
  • Fatih Kürşat Fırat

6 February 2013

Reinforced concrete buildings suffered significant damage in the region affected by the 29 May 2011 earthquake in Simav (Kutahya), Turkey. Typical building damage is classified and potential causes of damage are investigated. Reinforced concrete mome...

(This article belongs to the Special Issue Building Failures)
  • Article
  • Open Access
8 Citations
2,664 Views
16 Pages

7 May 2024

Accurate and efficient post-earthquake building damage assessment methods enable key building damage information to be obtained more quickly after an earthquake, providing strong support for rescue and reconstruction efforts. Although many methods ha...

  • Article
  • Open Access
5 Citations
2,394 Views
20 Pages

11 March 2021

The purpose of the research presented in the article is to identify the impact of the processes associated with the broadly understood maintenance of old residential buildings with a traditional construction on the size and intensity of the wear of t...

(This article belongs to the Special Issue Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings)
  • Article
  • Open Access
24 Citations
5,008 Views
14 Pages

Enhancing 3D Reconstruction Model by Deep Learning and Its Application in Building Damage Assessment after Earthquake

  • Zhonghua Hong,
  • Yahui Yang,
  • Jun Liu,
  • Shenlu Jiang and ,
  • Haiyan Pan,
  • Ruyan Zhou,
  • Yun Zhang,
  • Yanling Han,
  • Jing Wang and
  • Changyue Zhong
  • + 6 authors+ 1 author

28 September 2022

A timely and accurate damage assessment of buildings after an earthquake is critical for the safety of people and property. Most of the existing methods based on classification and segmentation use two-dimensional information to determine the damage...

(This article belongs to the Special Issue Geomorphology in the Digital Era)
  • Article
  • Open Access
19 Citations
2,924 Views
14 Pages

RC Medium-Rise Building Damage Sensitivity with SSI Effect

  • Liga Gaile,
  • Lasma Ratnika and
  • Leonids Pakrastins

23 February 2022

Global vibration-based methods in the field of structural health monitoring are intended to capture structural stiffness changes of buildings or other civil engineering structures. Natural frequencies of buildings or bridges are commonly used paramet...

(This article belongs to the Special Issue Advances in Serviceability Analysis of Concrete Structures)
  • Article
  • Open Access
5 Citations
2,940 Views
18 Pages

Vulnerability of Existing RC Building with Seismic Damage Scenarios: Case of Educational Buildings in Mostaganem City

  • Sabeur Bendehiba,
  • Sidi Mohammed El-Amine Bourdim,
  • Hugo Rodrigues and
  • Yassine Zelmat

The present work aims to assess the large-scale seismic vulnerability of a set of 55 reinforced concrete educational establishments of different typologies (approximately 516 constructions) located within the urban perimeter of the city of Mostaganem...

(This article belongs to the Special Issue Seismic Vulnerability Analysis and Mitigation of Building Systems)
  • Article
  • Open Access
29 Citations
5,152 Views
17 Pages

28 November 2021

The Zagreb 2020 earthquake severely damaged the historic centre of the city. Most of the damage occurred on historic masonry residential buildings, many of which are situated very close to the tram track. Although traffic-induced vibrations generally...

(This article belongs to the Special Issue Selected Papers from the 1st Croatian Conference on Earthquake Engineering (1CroCEE))
  • Article
  • Open Access
1,874 Views
27 Pages

A SWOT/TOWS Analysis of Inventory Methods for Buildings Damaged or Might Be Damaged

  • Krzysztof Zima,
  • Joanna Gil-Mastalerczyk and
  • Viktor Proskuryakov

3 November 2025

The present article focuses on the assessment of the potential advantages and disadvantages of the utilisation of modern building inventory technologies in crisis situations, using a case study of Ukraine, currently engulfed in armed conflict. The fo...

(This article belongs to the Collection Construction Management – Future Innovations, Methods, Techniques and Technologies)
  • Communication
  • Open Access
55 Citations
16,600 Views
21 Pages

War Related Building Damage Assessment in Kyiv, Ukraine, Using Sentinel-1 Radar and Sentinel-2 Optical Images

  • Yusupujiang Aimaiti,
  • Christina Sanon,
  • Magaly Koch,
  • Laurie G. Baise and
  • Babak Moaveni

9 December 2022

Natural and anthropogenic disasters can cause significant damage to urban infrastructure, landscape, and loss of human life. Satellite based remote sensing plays a key role in rapid damage assessment, post-disaster reconnaissance and recovery. In thi...

(This article belongs to the Collection Feature Papers for Section Environmental Remote Sensing)
  • Article
  • Open Access
1 Citations
1,424 Views
16 Pages

Application of MambaBDA for Building Damage Assessment in the 2025 Los Angeles Wildfire

  • Yangyang Yang,
  • Wanchao Bian,
  • Jiayi Fang,
  • Minghao Tang and ,
  • Zhonghua He,
  • Ying Li and
  • Gaofeng Fan
  • + 2 authors+ 0 author

7 November 2025

Timely detection of the spatial distribution of building damage in the immediate aftermath of a disaster is essential for guiding emergency response and recovery strategies. In January 2025, a large-scale wildfire struck the Los Angeles metropolitan...

(This article belongs to the Section Construction Management, and Computers & Digitization)
  • Article
  • Open Access
16 Citations
6,512 Views
21 Pages

22 March 2023

The most negative effects caused by earthquakes are the damage and collapse of buildings. Seismic building retrofitting and repair can effectively reduce the negative impact on post-earthquake buildings. The priority to repair the construction after...

(This article belongs to the Special Issue Industry 4.0 Digital Transformation for Intelligent Construction, Operation and Maintenance)
  • Article
  • Open Access
20 Citations
4,029 Views
17 Pages

Seismic risk assessment has become a crucial issue for optimal management of economic resources allocated to mitigation. For this purpose, in the last decades, several research activities were aimed to update hazard, exposure, and vulnerability model...

(This article belongs to the Special Issue Seismic Vulnerability and Strengthening of Unreinforced Masonry Buildings)
  • Review
  • Open Access
748 Views
36 Pages

14 July 2026

Moisture damage in buildings has traditionally been discussed primarily in relation to winter condensation in cold climates. In hot-humid regions, however, damage develops under different boundary conditions, including warm and humid outdoor air, fre...

(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
  • Article
  • Open Access
53 Citations
10,133 Views
21 Pages

25 September 2013

The slow movement of active deep-seated slope gravitational deformations (DSGSDs) and deep-seated rockslides can cause damage to structures and infrastructures. We use Permanent Scatterers Synthetic Aperture Radar Interferometry (PSInSAR™) displaceme...

(This article belongs to the Special Issue Remote Sensing for Landslides Investigation: From Research into Practice)
  • Article
  • Open Access
30 Citations
6,854 Views
34 Pages

BD-SKUNet: Selective-Kernel UNets for Building Damage Assessment in High-Resolution Satellite Images

  • Seyed Ali Ahmadi,
  • Ali Mohammadzadeh,
  • Naoto Yokoya and
  • Arsalan Ghorbanian

31 December 2023

When natural disasters occur, timely and accurate building damage assessment maps are vital for disaster management responders to organize their resources efficiently. Pairs of pre- and post-disaster remote sensing imagery have been recognized as inv...

(This article belongs to the Special Issue Artificial Intelligence for Natural Hazards (AI4NH))
  • Article
  • Open Access
43 Citations
6,960 Views
19 Pages

1 January 2020

Remote sensing, particularly using synthetic aperture radar (SAR) systems, can be an effective tool in detecting and assessing the area and amount of building damages caused by earthquake or tsunami. Several studies have provided experimental evidenc...

(This article belongs to the Section Environmental Remote Sensing)
  • Article
  • Open Access
59 Citations
7,935 Views
14 Pages

25 February 2016

After an earthquake, rapidly and accurately obtaining building damage information can help to effectively guide the implementation of the emergency rescue and can reduce disaster losses and casualties. Using a single post-earthquake fully-polarimetri...

(This article belongs to the Special Issue Earth Observations for Geohazards)
  • Article
  • Open Access
402 Views
18 Pages

11 June 2026

Natural disasters frequently cause significant building damage, necessitating timely and accurate damage assessment for effective rescue operations and post-disaster reconstruction. Traditional building damage assessment methods commonly rely on pair...

(This article belongs to the Special Issue Remote Sensing Applications in Agricultural, Earth and Environmental Science, 2nd Edition)
  • Article
  • Open Access
3 Citations
2,547 Views
19 Pages

Integrating GAN-Generated SAR and Optical Imagery for Building Damage Mapping

  • Chia Yee Ho,
  • Bruno Adriano,
  • Gerald Baier,
  • Erick Mas and ,
  • Sesa Wiguna,
  • Magaly Koch and
  • Shunichi Koshimura
  • + 2 authors+ 0 author

31 December 2025

Reliable assessment of building damage is essential for effective disaster management. Synthetic Aperture Radar (SAR) has become a valuable tool for damage detection, as it operates independently of the daylight and weather conditions. However, the l...

(This article belongs to the Collection Feature Papers for Section Environmental Remote Sensing)
  • Article
  • Open Access
41 Citations
4,132 Views
26 Pages

25 September 2023

On 6 February 2023, two major earthquakes occurred in the Turkish province of Kahramanmaraş. The first earthquake with a magnitude of Mw 7.7 occurred in the center of Kahramanmaras, while the second earthquake with a magnitude of Mw 7.5 occurred...

(This article belongs to the Special Issue Advanced Structural Analysis for Earthquake-Resistant Design of Buildings)
  • Article
  • Open Access
8 Citations
4,302 Views
21 Pages

10 April 2024

Existing Reinforced Concrete School buildings with low earthquake resistance may suffer structural failure or severe damage in a catastrophic seismic event. Ascertaining earthquake resistance in existing school buildings is vital to confirming the sa...

(This article belongs to the Special Issue Research on the Seismic Performance of Reinforced Concrete Structures)
  • Article
  • Open Access
535 Views
16 Pages

Seismic Response of a Damaged Multi-Story RC Building During the 6 February 2023 Kahramanmaraş Earthquakes

  • Ozan İnce,
  • Muhammet Karaton,
  • Burak Çakıl,
  • Ömer Faruk Osmanlı and ,
  • Ömer Faruk Taş,
  • Kağan Çanakçı and
  • Erkut Sayın
  • + 2 authors+ 0 author

10 September 2026

Post-earthquake field investigations provide significant contributions to earthquake-resistant building design. Especially after devastating earthquakes, determining the damage levels in buildings is an important issue for structural engineering. The...

(This article belongs to the Special Issue Application of New Technologies or Building Materials in Civil Engineering)
  • Article
  • Open Access
18 Citations
4,269 Views
20 Pages

Seismic Damage Semantics on Post-Earthquake LOD3 Building Models Generated by UAS

  • Konstantinos Chaidas,
  • George Tataris and
  • Nikolaos Soulakellis

In a post-earthquake scenario, the semantic enrichment of 3D building models with seismic damage is crucial from the perspective of disaster management. This paper aims to present the methodology and the results for the Level of Detail 3 (LOD3) build...

  • Article
  • Open Access
1 Citations
3,535 Views
22 Pages

This study emphasizes the significance of employing systematic approaches and precise modeling techniques to evaluate potential building damage from metro tunnel excavations. Mair et al. (1996) proposed a three-stage assessment framework comprising p...

(This article belongs to the Section Infrastructures and Structural Engineering)

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