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ChatGPT in transforming communication in seismic engineering: Case studies, implications, key challenges and future directions

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Earthquake Science 2024年第4期37卷 352-367页

作者： Partha Pratim Ray Department of Computer Applications Sikkim UniversityGangtokIndia

seismic engineering,a critical field with significant societal implications,often presents communication challenges due to the complexity of its *** paper explores the role of Artificial Intelligence(AI),specifically OpenAI’s ChatGPT,in bridging these communication *** study delves into how AI can simplify intricate seismic engineering terminologies and concepts,fostering enhanced understanding among students,professionals,and *** also presents several intuitive case studies to demonstrate the practical application of ChatGPT in seismic ***,the study contemplates the potential implications of AI,highlighting its potential to transform decision-making processes,augment education,and increase public *** acknowledging the promising future of AI in seismic engineering,the study also considers the inherent challenges and limitations,including data privacy and potential oversimplification of *** advocates for the collaborative efforts of AI researchers and seismic experts in overcoming these obstacles and enhancing the utility of AI in the *** exploration provides an insightful perspective on the future of seismic engineering,which could be closely intertwined with the evolution of AI.

关键词： AI ChatGPT seismic engineering decision making earthquake science

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A conceptual evolutionary aseismic decision support framework for hospitals

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Earthquake engineering and engineering Vibration 2012年第4期11卷 499-512页

作者： Yufeng Hu Gary F. Dargush Xiaoyun Shao Department of Civil and Construction engineering Western Michigan UniversityKalamazoo Department of Mechanical and Aerospace engineering University at BuffaloState University of New YorkBuffalo

In this paper, aconceptual evolutionary framework for aseismic decision support for hospitalsthat attempts to integrate a range of engineering and sociotechnical models is presented. Genetic algorithms are applied to find the optimal decision sets. A case study is completed to demonstrate how the frameworkmay applytoa specific *** simulations show that the proposed evolutionary decision support framework is able to discover robust policy sets in either uncertain or fixed environments. The framework also qualitatively identifies some of the characteristicbehavior of the critical care organization. Thus, by utilizing the proposedframework, the decision makers are able to make more informed decisions, especially toenhance the seismic safety of the hospitals.

关键词： decision making seismic engineering hospital genetic algorithms

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A Complementary engineering-Based Building Damage Estimation for Earthquakes in Catastrophe Modeling

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International Journal of Disaster Risk Science 2016年第1期7卷 88-107页

作者： Siau Chen Chian Department of Civil and Environmental engineering National University of Singapore

Catastrophe modeling for earthquakes is conventionally designed as a probabilistic model to estimate the losses based on risk and vulnerability of a portfolio of exposures for a foreseeable set of events. This approach lacks a physical science of building damage that is linked to ground-shaking characteristics. A proposed engineeringbased building damage estimation model based on established theories of seismic wave propagation and structural resonance is presented to address some of these shortcomings. A damage factor is introduced to provide an indication of the relative extent of damage to *** based on the proposed methodology is carried out using data derived from four case studies: the 2011 Tohoku earthquake; the 2007 Bengkulu earthquake; the 2011 Christchurch earthquake; and the 1999 Chi-Chi *** show that the computed damage factors reasonably reflect the extent of actual damage to buildings that was observed in post-earthquake reconnaissance surveys. This indicates that the proposed damage simulation model has a promising future as a complementary assessment tool in building damage estimation in catastrophe modeling.

关键词： Building damage estimation Catastrophe modeling Resonance seismic engineering Wavelet analysis

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