Results 141 to 150 of about 24,964,284 (390)

Sensitivity of Risk‐Based Demand Curves to Analytical Fragility Function Fitting Using Multiple‐Stripe Analyses

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Risk‐based seismic assessments using demand curves that provide mean annual exceedance rates for various system demand levels are increasingly being adopted. Such assessments combine the seismic hazard curve with fragility functions for each demand level, serving as a basis to quantify the average annual losses from system damage. Constructing
Zeyad Khalil, Peter J. Stafford, Ahmed Y. Elghazouli   +2 more
wiley   +1 more source

Subduction dynamics at the middle America trench : new constraints from swath bathymetry, multichannel seismic data, and 10BE [PDF]

, 2003
Robyn K. Kelly
openalex   +1 more source

Continuous monitoring of the lunar or Martian subsurface using on-board pattern recognition and neural processing of Rover geophysical data [PDF]

The ultimate goal is to create an extraterrestrial unmanned system for subsurface mapping and exploration. Neural networks are to be used to recognize anomalies in the profiles that correspond to potentially exploitable subsurface features.
Glass, C. E., Mcgill, J. W., Sternberg, B. K.   +2 more
core   +1 more source

Evaluation of the Adequacy of Design Specifications for Nonstructural Components in a Reticular Structure

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Nonstructural components (NSCs) installed in large‐span reticular structures were frequently severely damaged during earthquakes, even when the primary structure remained intact. Existing seismic design specifications for NSCs were predominantly developed for upright structures such as multi‐storey buildings and offer no guidance for reticular
Xudong Zhi, Fengze Li, Duozhi Wang, Nawawi Chouw, Rong Zhang, Bo Huang, Feng Fan   +6 more
wiley   +1 more source

Application of AVO Analysis to Seismic Data for Detection of Gas below Methane Hydrate Stability Zone in Nankai Trough Area [PDF]

, 2004
Masami Hato, Takao Inamori, Alfian Bahar, Toshifumi Matsuoka   +3 more
openalex   +1 more source

Estimating Arias Intensity From Response Spectrum

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Arias intensity serves as a crucial metric to measure ground motion energy and is extensively utilized in earthquake engineering to analyze structural damage, slope instability, and the potential for soil liquefaction. Nevertheless, in many practical design scenarios, only the response spectrum is available, without corresponding information ...
Longfei You, Haizhong Zhang, Yan‐Gang Zhao   +2 more
wiley   +1 more source

Stress Redistribution Mechanisms and Subsidence Control of Fluidized Gangue Backfilling in Underground Coal Mining: Integrated Experimental and Numerical Investigation

Energy Science &Engineering, EarlyView.
Fluidized gangue backfilling controls mining subsidence through stress redistribution in composite backfill‐pillar systems, reducing surface settlement and stress concentrations. Multi‐scale experimental and numerical analysis provides quantitative design parameters for optimizing ground control in sustainable underground coal mining operations ...
Weilong Zhang, Jie Zhang, Yuanzhen Zhang, Wenjing Liu, Liang Li, Deyi Nan, Guannan Zhao, Chen Yang, Haiqing Bian, Hua Shao, Xiao Zuo, Changtai Zhou   +11 more
wiley   +1 more source

Seismic-reflection profiles of the New Madrid seismic zone-data along the Mississippi River near Caruthersville, Missouri [PDF]

, 1986
Anthony J. Crone, Samuel T. Harding, D. P. Russ, Kaye M. Shedlock   +3 more
openalex   +1 more source

Dataset - seismic data from central-western Italy used in the paper on rapid prediction of ground motion using a Convolutional Neural Network

, 2021
Dario Jozinović, Anthony Lomax, Ivan Štajduhar, Alberto Michelini   +3 more
openalex   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source