Results 91 to 100 of about 12,746 (295)

Sensitivity analysis for seismic risk using a fault rupture model [PDF]

, 1982
Bernice Bender
openalex   +1 more source

Seismic Performance Evaluation of Lead High‐Damping Rubber Bearings Tested by Real‐Time Hybrid Simulations at Low Temperatures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Lead high‐damping rubber (LHDR) bearings, composed of high‐damping rubber and lead core, are effective isolation devices that address increased seismic demands. The temperature effect on the behavior of LHDR bearings is significant, leading to increased initial stiffness at low temperatures.
Jie Shen, Akira Igarashi, Ji Dang, Yuki Hamada, Takehiko Himeno   +4 more
wiley   +1 more source

Effective Adaptation Options to Alleviate Nuisance Flooding in Coastal Megacities—Learning From Ho Chi Minh City, Vietnam

Earth's Future
The economies and livelihoods of many coastal megacities are at serious risk from flooding, despite investments in flood defenses. For instance, in Ho Chi Minh City, the construction of a large‐scale ring‐dike has mitigated negative effects from storm ...
Leon Scheiber, Nivedita Sairam, Mazen Hoballah Jalloul, Kasra Rafiezadeh Shahi, Christian Jordan, Jan Visscher, Tara Evaz Zadeh, Laurens J. N. Oostwegel, Danijel Schorlemmer, Ngo Thanh Son, Hong Nguyen Quan, Torsten Schlurmann, Matthias Garschagen, Heidi Kreibich   +13 more
doaj   +1 more source

Cost and Effectiveness of Fiber-Reinforced Polymer Solutions for the Large-Scale Mitigation of Seismic Risk in Reinforced Concrete Buildings. [PDF]

Polymers (Basel), 2021
Del Vecchio C, Di Ludovico M, Prota A.
europepmc   +1 more source

Experimental Simulation Investigation on Mechanism and Criterion of Impact‐Induced Rockburst in Gaoloushan Deep Tunnel

Energy Science &Engineering, EarlyView.
ABSTRACT During the excavation of a deep‐buried tunnel by the drilling and blasting method, the dynamic stress of blasting may cause the disorderly release of high energy in the rock mass during the blasting process of deep high‐energy rock. Blasting vibration is one of the main factors inducing dynamic disasters (such as rockbursts) in the surrounding
Chao Ren, Xiaoming Sun, Manchao He, DongQiao liu, JinKun Yang, Kunbo Zhang   +5 more
wiley   +1 more source

Seismic Risk Assessment in School Buildings: A Comparative Study of Two Assessment Methods

Buildings
Seismic risk assessment in school buildings is critical for ensuring the safety and resilience of educational institutions against seismic events. This paper presents a new seismic risk methodology named MM Risk and comparative study with Adriseismic ...
Marko Marinković, Matija Bošković, Filip Đorđević, Nemanja Krtinić, Željko Žugić   +4 more
doaj   +1 more source

Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM

Energy Science &Engineering, EarlyView.
First, the original ultrasound‐guided wave signal data is decomposed into multiple sub‐signals with varying frequencies using VMD to capture the multi‐scale features within the data. Second, the decomposed and noise‐reduced signal, processed by the HO‐VMD algorithm, is input into the CNN for further feature extraction through convolution and pooling ...
Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin   +7 more
wiley   +1 more source

Generating Input Ground Motions for Seismic Risk Assessment Using Recorded Ground Motions from the Moderate Magnitude Earthquake

Applied Sciences
To secure the seismic performance of structures, seismic risk assessment is necessary to quantify safety against beyond-design-based earthquakes and seismic design.
Hae Yeon Ji, Jung Han Kim
doaj   +1 more source

Analysis of Gas‐Bearing Properties of Shale Reservoirs: A Comprehensive Analysis Based on Field Interpretation and Logging Interpretation

Energy Science &Engineering, EarlyView.
ABSTRACT Shale gas, as an important component of unconventional natural gas, plays a crucial role in resource development. This paper proposes a comprehensive analytical method that combines field analysis and well logging interpretation to evaluate gas content in shale reservoirs.
Jin Pang, Tongtong Wu, Xinan Yu, Chunxi Zhou, Pei Yu, Haotian Chen, Jiaao Gao   +6 more
wiley   +1 more source

Quantitative Evaluation of Sand Body Connectivity Based on the Support Vector Machine Algorithm: A Case Study of the Putaohua Oil Reservoir in the Daqing Oil Field, Songliao Basin, China

Energy Science &Engineering, EarlyView.
A support vector machine (SVM) algorithm was applied to quantitatively predict the connectivity of the sand bodies. Verification using dynamic and static data demonstrated that the prediction accuracy of the algorithm reached 88%. The quantitative sand body connectivity results were used to establish a single sand body model.
Hui He, Chang Liu, Lin Xie, Xianming Li, Chuixian Kong, Pengshan Ma, Shiyuan Li   +6 more
wiley   +1 more source