Results 221 to 230 of about 4,985,012 (292)

Spatially validated assessment of seismic hazard-prone environments in Myanmar using multi-source data and interpretable machine learning. [PDF]

Sci Rep
Ning J, Sun Z, Wang Y, Xu Y, Zhang C.
europepmc   +1 more source

A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management

Engineering Reports, Volume 8, Issue 10, October 2026.
Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader, Abobakr Al‐Sakkaf, Moaaz Elkabalawy, Kyrillos Ebrahim, Haytham Elmousalami, Mohammed Algamati, Ghasan Alfalah   +6 more
wiley   +1 more source

Synthetic Seismic Accelerogram Generation via Wavelet- Decomposed Conditional Generative Adversarial Networks. [PDF]

Sensors (Basel)
Rocca A, Laura L, Parrillo M.
europepmc   +1 more source

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3012-3028, 10 October 2026.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Near-surface structural imaging of Tehran uppermost crust for urban seismic hazard. [PDF]

Sci Rep
Motavalli-Anbaran SJ, Moradi A, Shirzad T, Kiani M, Naghavi M, Jaferpour G.   +5 more
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3115-3136, 10 October 2026.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Integrated slope stability assessment of earthen canals under seismic loading using pseudostatic analysis and vetiver grass reinforcement. [PDF]

Sci Rep
Hazim W, Ziar A.
europepmc   +1 more source

From a Probabilistic PBEE Framework to Risk‐Targeted Structural Design With Cascading Hazards: Engineering Application for Seismic–Radiological Safety

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3098-3114, 10 October 2026.
ABSTRACT Earthquake‐induced damage of structures can trigger cascading hazards, linking structural performance to nonstructural consequences. In current engineering practice, these two aspects are typically addressed separately, limiting the ability to account for such coupled effects in design.
Matjaž Dolšek, Peter Fajfar, Anže Babič   +2 more
wiley   +1 more source

Dataset of integrated seismic and geodetic strain rates in the Kopeh Dagh Belt (NE Iran): Earthquake focal mechanisms (1969-2024) and GNSS-derived deformation parameters. [PDF]

Data Brief
Rashidi A, Shafieibafti S, Nemati M, Derakhshani R.   +3 more
europepmc   +1 more source

Analytical Framework for System‐Level Fragility Surfaces of Reinforced Concrete Bridges Under Mainshock‐Aftershock Sequences

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 13, Page 3264-3284, 25 October 2026.
ABSTRACT Conventional single intensity measure (IM) fragility approaches with simplified component dependency assumptions overlook the progressive damage accumulation and evolving inter‐component correlations that govern system behavior under mainshock‐aftershock (MSAS) loading.
Muhammad Rashid, Mayuko Nishio
wiley   +1 more source