Article
Construction & Building Technology
Xiao-Wei Ye, Si-Yuan Ma, Zhi-Xiong Liu, Yang Ding, Zhe-Xun Li, Tao Jin
Summary: This study proposes a framework for rapid post-earthquake structural damage inspection and condition assessment by integrating satellite, UAV, and smartphone technologies with deep learning. The proposed MT-HRNet model demonstrates accurate recognition of structural components and damage conditions with reduced computational resources compared to the HRNet model. Additionally, a method for determining the safety risk level of post-earthquake bridge structures is developed.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Environmental Sciences
Haijia Wen, Xinzhi Zhou, Chi Zhang, Mingyong Liao, Jiafeng Xiao
Summary: This study developed building-seismic-resilience (BSR) mapping models based on different classification schemes using random forest (RF) and a support vector machine (SVM). A database was established with 19 influencing factors after a field survey of earthquake-damaged buildings in Shuanghe Town. Six machine learning assessment models for BSR mapping were developed using RF and SVM, which achieved prediction accuracies of approximately 0.64-0.94. The performance of the BSR models was influenced by the quantity of total datasets, the classification schemes, and imbalanced data.
Article
Chemistry, Analytical
George Pampoukis, Anastasia E. Lytou, Anthoula A. Argyri, Efstathios Z. Panagou, George-John E. Nychas
Summary: Unsafe food is estimated to cause 600 million cases of foodborne disease annually. This review summarizes recent progress in rapid microbial assessment methods, including spectroscopic techniques, spectral imaging techniques, biosensors, and sensors designed to mimic human senses.
Article
Geosciences, Multidisciplinary
Changhai Zhai, Yonggang Zhao, WeiPing Wen, Hao Qin, LiLi Xie
Summary: Earthquakes pose significant threats to urban communities' built environment. To reduce the catastrophic consequences, it is urgently needed to build seismic resilient cities that can better withstand seismic damage and recover rapidly post-disaster. This paper defines urban seismic resilience, establishes an assessment indicator system, and presents a novel assessment method based on post-earthquake loss and recovery time. The method incorporates engineering systems, non-engineering systems, and secondary disaster risks. A case study in a southern Chinese city demonstrates that it effectively resists possible future earthquake disasters.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Engineering, Civil
A. Tena-Colunga, H. Hernandez-Ramirez, E. A. Godinez-Dominguez, L. E. Perez-Rocha
Summary: This paper focuses on quantifying the resilience of the built environment in Mexico City during the September 19, 2017 earthquake, using global statistics. It also provides updates on the seismic reconstruction and recovery processes after the earthquake. Implementing structural health monitoring programs for buildings in the city can help improve seismic resilience.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2021)
Article
Engineering, Marine
Ayhan Mentes, Ertugrul Mollaahmetoglu
Summary: Operations performed on FPSOs involve many hazards, especially confined space entry and operations. This study proposes using the principles of Resilience Engineering to control and reduce potential risks, and the results demonstrate the proactive ability and usefulness of this approach.
Article
Engineering, Industrial
Yangyang Wu, Guangyang Hou, Suren Chen
Summary: Efficient and safe transportation systems are crucial to communities during the long-term recovery period after earthquakes. This study introduces a new methodology for assessing the resilience performance of transportation networks during post-earthquake recovery, integrating traffic efficiency and safety into the assessment and prioritization of recovery. By modeling the traffic performance of partially closed road segments and introducing a resilience indicator, this approach aims to support more risk-informed post-hazard recovery planning.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Geosciences, Multidisciplinary
Mairead NicBhloscaidh, John McCloskey, Mark Pelling, Mark Naylor
Summary: The study aims to assess whether low-cost social adaptations can increase community resilience to earthquakes in poor countries by quantifying the vulnerability of exposed populations to a set of earthquakes. The results show that wealthy countries perform well, while poorer countries are more vulnerable. Some low-GDP countries demonstrate remarkable ability to resist shaking, suggesting that social and political will can enhance resilience.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Geosciences, Multidisciplinary
Shuang Li, Yumeng Tang, Changhai Zhai
Summary: High-speed railway transportation is one of the most critical ways for passenger and freight transportation between cities, with its characteristics of fast transportation speed and large transportation volume. However, when facing unexpected disruptions, error and conflict often occur in high-speed railway transportation due to the inability of timely and correct rearrangement by human beings. In order to solve the timetable rescheduling problem after earthquakes and enhance seismic resilience, a mixed integer linear programming model considering main track outage, track recovery, station recovery, and dynamic traffic demand is proposed. The method is validated on a realistic simulation of the Dalian-Shenyang section of the Harbin-Dalian HSR and has been shown to find optimal solutions with the highest resilience in short computation times.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Geosciences, Multidisciplinary
Andrew Deelstra, David N. Bristow
Summary: Earthquakes and other natural hazards can cause significant damage to structures and critical lifeline systems. Modeling approaches are used to assess the impacts of disasters at a municipal and regional level, but their complexity makes it challenging to engage with different audiences and compare scenarios. This work presents multiple assessment methods using a model that tracks infrastructure system dependencies, repair times, and resource requirements, providing additional resources for decision-making to better protect communities.
Article
Environmental Sciences
Qigen Lin, Tianyu Ci, Leibin Wang, Sanjit Kumar Mondal, Huaxiang Yin, Ying Wang
Summary: This study proposes a data transfer algorithm utilizing beneficial samples from historical data to enhance the reliability of seismic building damage assessment models. The algorithm significantly improves model performance and is applicable in data-limited contexts for building damage assessment.
Article
Automation & Control Systems
Lin Chen, Haibei Xiong, Xiuquan Li, Yurong Lu, Qingzhao Kong
Summary: In this study, an ensemble learning-aided prediction algorithm combined with piezoceramic-enabled sensing technology was proposed to identify mechanical behaviors of dissipative CLT connections under external loading. The main contribution of this study is to build a bridge between the damage-sensitive feature extracted from non-destructive sensing signals and mechanical behaviors obtained by destructive loading test, avoiding the requirement of time-consuming destructive tests and baseline signal in traditional method.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Civil
Jian Chen, Michael J. Chajes, Harry W. Shenton, Christos Aloupis
Summary: Structural health monitoring allows efficient and accurate evaluation of bridge conditions. This study proposes a novel methodology using statistical pattern recognition to detect abnormal responses in the Indian River Inlet Bridge. The methodology calculates strain threshold indices and establishes decision boundaries, effectively detecting simulated damage and providing practical guidance for bridge owners.
JOURNAL OF BRIDGE ENGINEERING
(2022)
Article
Construction & Building Technology
David Koren, Katarina Rus
Summary: A comprehensive assessment of a city's vulnerability and resilience is necessary for effective response to a natural disaster like an earthquake. This paper introduces a method for assessing the seismic performance of a city as a socio-physical system by considering individual urban components and their interactions. The study evaluates the seismic vulnerability of buildings based on fragility curves and applies different seismic scenarios. The urban performance is evaluated based on accessibility to urban services and the temporal aspect is included for a comprehensive resilience assessment.
Article
Agriculture, Dairy & Animal Science
Wijbrand Ouweltjes, Mirjam Spoelstra, Bart Ducro, Yvette de Haas, Claudia Kamphuis
Summary: This study aimed to investigate whether a data-driven random forest algorithm could achieve equal or improved prediction accuracy of lifetime resilience scores compared to ordinal logistic regression models, using sensor data from a cow's first lactation. The results showed that the random forest algorithm using daily aggregated sensor data as input can achieve an overall accuracy of around 50%, providing at least as good prediction as models with sensor features as input.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Engineering, Geological
Clotaire Michel, Pia Hannewald, Pierino Lestuzzi, Donat Fah, Stephan Husen
BULLETIN OF EARTHQUAKE ENGINEERING
(2017)
Article
Geochemistry & Geophysics
V. Poggi, J. Burjanek, C. Michel, D. Fah
GEOPHYSICAL JOURNAL INTERNATIONAL
(2017)
Article
Engineering, Geological
Clotaire Michel, Helen Crowley, Pia Hannewald, Pierino Lestuzzi, Donat Fah
BULLETIN OF EARTHQUAKE ENGINEERING
(2018)
Article
Engineering, Civil
Clotaire Michel, Amin Karbassi, Pierino Lestuzzi
ENGINEERING STRUCTURES
(2018)
Article
Geochemistry & Geophysics
Panos A. Psimoulis, Nicolas Houlie, Mohammed Habboub, Clotaire Michel, Markus Rothacher
GEOPHYSICAL JOURNAL INTERNATIONAL
(2018)
Article
Engineering, Geological
Clotaire Michel, Philippe Gueguen
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2018)
Article
Geosciences, Multidisciplinary
Tobias Diehl, John Clinton, Nicolas Deichmann, Carlo Cauzzi, Philipp Kastli, Toni Kraft, Irene Molinari, Maren Bose, Clotaire Michel, Manuel Hobiger, Florian Haslinger, Donat Fah, Stefan Wiemer
SWISS JOURNAL OF GEOSCIENCES
(2018)
Editorial Material
Engineering, Civil
Clotaire Michel, Blaise Duvernay, Ehrfried Kolz, Navid Jamali, Pierino Lestuzzi
EARTHQUAKE SPECTRA
(2019)
Article
Geography, Physical
Lukas E. Preiswerk, Clotaire Michel, Fabian Walter, Donat Fah
ANNALS OF GLACIOLOGY
(2019)
Article
Geosciences, Multidisciplinary
M. Hausler, C. Michel, J. Burjanek, D. Fah
GEOPHYSICAL RESEARCH LETTERS
(2019)
Article
Geochemistry & Geophysics
Jeffrey R. Moore, Paul R. Geimer, Riley Finnegan, Clotaire Michel
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2019)
Article
Engineering, Civil
Pia Hannewald, Clotaire Michel, Pierino Lestuzzi, Helen Crowley, Justine Pinguet, Donat Fah
ENGINEERING STRUCTURES
(2020)
Article
Geosciences, Multidisciplinary
M. Haeusler, C. Michel, J. Burjanek, D. Faeh
Summary: Monitoring the dynamic response of unstable rock slopes through analysis of ambient vibration data can effectively identify changes in the slope. The study found that dynamic parameters are primarily influenced by temperature, providing a way to recognize structural changes before a future collapse.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Geochemistry & Geophysics
Manuel Hobiger, Paolo Bergamo, Walter Imperatori, Francesco Panzera, Agostiny Marrios Lontsi, Vincent Perron, Clotaire Michel, Jan Burjanek, Donat Faeh
Summary: The paragraph discusses the construction and site characterization of new strong-motion stations for the Swiss Strong Motion Network renewal. Various geophysical and geotechnical methods are used for each station to model seismic-velocity profiles and assess liquefaction potential. The combination of different methods is shown to be beneficial for retrieving important seismic characteristics of the sites.
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2021)
Article
Geochemistry & Geophysics
Elena Florinela Manea, Carmen Ortanza Cioflan, Alina Coman, Clotaire Michel, Valerio Poggi, Donat Faeh
PURE AND APPLIED GEOPHYSICS
(2020)