Enhanced Domain Tuned Yolo-Driven Intelligent Fault Identification Method: Application in Selection and Construction of Gas Storage by BAI Xuefeng, ZHANG Fengyuan, ZOU Huanyu, HUANG Famu, LI Junlun, ZHAO Shijie, ZHANG Li, TANG Jizhou

“…Nevertheless, identifying faults from seismic image data heavily relies on expert knowledge, suffers from poor timeliness, and has strong ambiguity. …”
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Selecting the severest seismic design ground motions for cut-and-cover underground structures by Wei Yu, Zhi-Yi Chen, Zhi-Qian Liu

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Seismic motion input methods of viscous-elastic boundary and numerical simulation of seismic response on large diameter tunnels by Weibiao Jing, Zhan Wang, Liping Jing, Wenhao Qi

“…First, through the study of wave method for seismic motion input of viscous-elastic boundary, several different wave fields selection methods for calculating the equivalent nodal forces at the bottom of the model were compared using free field and scattering field models. …”
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Seismic fault identification method based on CBAM-TransUNet by Xin WANG, Wei ZHANG, Tongjun CHEN, Ao ZHANG, Dang ZHAO

“…Firstly, the CBAM-Block attention module is integrated into the TransUNet network, and the module is added into the CNN tomography encoder part and the 3-layer jump connection part connecting the tomography encoder and the tomography decoder, respectively, to enhance the recognition ability of the seismic tomography image from two dimensions, namely, the channel and the space; secondly, the loss function optimised jointly by the Dice loss function and the cross-entropy loss function is selected to make the segmentation of the tomography image more accurate. function and cross-entropy loss function to make the fault image segmentation more accurate, and the DICE and IOU values obtained by the CBAM-TransUNet fault identification network on the synthetic seismic dataset are increased to 0.84 and 0.75, respectively, and the experimental results show that the continuity of the fault identification is stronger, which is obviously superior to other classical segmentation methods; finally, the constructed model is used to interpret the faults on the real seismic dataset of the F3 block of the North Sea, off the coast of the Netherlands. …”
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Machine Learning-Based Methods for the Seismic Damage Classification of RC Buildings by Sung Hei Luk

“…A variety of earthquake and structural parameters are considered as input parameters, while damage levels based on the maximum inter-story drift ratio are selected as the output. The performance and effectiveness of several machine learning algorithms, including ensemble methods and artificial neural networks, are investigated. …”
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Selection of Compatible Ground Motions with the Seismic Characteristics of Erbil City, the Capital of the Kurdistan Region of Iraq by Zina A. Abduljaleel, Bahman O. Taha

“…Four sets of ground motion selection and modification methods proposed to obtain fifteen records, where each record scaled and matched with the defined target spectra and seismic characteristics in Erbil city. …”
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A seismic random noise suppression method based on CNN-Mamba by Xiujuan WEI, Xingye LIU, Huailai ZHOU

“…However, these models face challenges such as slow computation, high resource consumption, and limited applications.Objective and Methods To address these issues, this study proposed a CMUNet seismic random noise suppression network that integrates CNN and Mamba. …”
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Scaling Method Application for Seismic Design along the Central Anatolian Fault Zone by Erhan Gumus, Baki Ozturk, Fadzli Mohamed Nazri

“…It defines the importance of selecting suitable records with certain features that can be used with the scaling method to ensure that real ground motion records match the design acceleration spectra defined in the earthquake codes and will provide a perspective on future destructive earthquakes that may occur on the CAFZ.…”
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Determination of coordinates of the earthquake hypocenter by the method of circles by G. K. Aslanov, T. G. Aslanov

“…The method allows one to select one of the second or fourth order figures for different pairs of seismic sensors, which makes it possible to reduce the error in determining the source coordinates.…”
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Study on the calculation method of seismic coefficient for slope stability using shear beam theory by Mengchen WANG, Yahong DENG, Huandong MU, Nan YANG, Faqiao QIAN

“…Pseudo-static method is a common used approach to evaluate the seismic stability of slopes, where the choice of seismic coefficients directly affects the accuracy of the evaluation. …”
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Research on Seismic Noise Attenuation Method Based on Wavelet Transform and f-x-VMD by Chenhao Lian, Wei Chen

“…Effective attenuation of random noise is an important link in seismic data processing. The traditional random noise attenuation method needs to select appropriate processing parameters, which has poor adaptability and requires a lot of calculation, resulting in the random noise can not be effectively attenuated. …”
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Quasi-preview control: A novel method for active structural vibration control subject to seismic disturbances using adaptive filters and multiple remote seismic observations by Shinya FUJIMURA, Tomohiro WATANABE, Kazuhiko HIRAMOTO

“…This paper proposes a novel quasi-preview control method for structural vibration control using real-time seismic wave data from multiple remote observation sites and structural response. …”
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RANKING OF SEISMIC INTENSITY ATTENUATION LAWS AND MODELING OF SEISMIC SOURCES FOR SEISMIC HAZARD ASSESSMENT IN UZBEKISTAN by R. S. Ibragimov, T. L. Ibragimova, M. A. Mirzaev, S. H. Ashurov

“…The most effective tool for their selection is the ranking procedure which consists in attributing a weight to one or another equation depending on the degree of compliance between the equation-based seismic effects and the real experimental data available for the region under study. …”
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Application of Endurance Time method in evaluation of seismic performance of a typical sandwich panel building by Mohammad Yekrangnia

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Seismic Vulnerability Evaluation of Metro Station Complex Structures in TOD Mode Based on IDA Method by Wenbo Li, Jiawang Jin, Jiakun Hu, Fuqiang Feng, Junhai An

“…Secondly, different types of seismic waves are selected to analyze the seismic vulnerability of the simplified two-dimensional numerical model, and the exceedance probability of different damage states of the structure is quantitatively analyzed. …”
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Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

“…In this study, the effectiveness of advanced machine learning techniques for improving earthquake magnitude prediction is examined using comprehensive seismic data. A hybrid methodology was developed that integrates machine learning models with metaheuristic feature selection methods to enhance accuracy and robustness. …”
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Evaluation of the effect of reservoir length on seismic behavior of concrete gravity dams using Monte Carlo method by Majid Pasbani Khiavi, Mortaza Ali Ghorbani, Mehdi Kouchaki

“…The ANSYS software based on finite element method is applied for modeling and analysis. The Pine Flat dam in California, under components of El Centro, San Fernando and North Ridge earthquake, is modeled as a case study to evaluate the effect of reservoir length on seismic behavior and optimization. …”
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ANALYSIS OF EARTHQUAKE SEISMICITY IN MALUKU PROVINCE AND ITS SURROUNDING AREAS USING THE MAXIMUM LIKELIHOOD ESTIMATION METHOD by Henry Junus Wattimanela, Adi Setiawan

“…In contrast, the maximum likelihood method was employed to ascertain the seismicity value and earthquake return period. …”
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Analysis of seismicity in the Haicheng-Xiuyan region based on dense array data and deep learning methodsKey points by Zemin Liu, Weitao Wang, Lu Li, Zihao Li, Ziye Yu, Songyong Yuan, Lanshu Bai

“…This study shows that the automatic earthquake catalog, obtained by deep learning methods and dense seismic array, can provide valuable information for fault structures and the seismogenic mechanisms of moderate-to-strong earthquakes.…”
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Evaluation of numerical modeling for the seismic response of an arch dam: the case of the Tichy-Haf Dam by El Houcine Ziadi, Mohamed Meksaouine, Feriel Mekki

“…Several reference nodes on the dam body were selected to assess displacement, velocity, and acceleration during seismic events. …”
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