Results 21 to 30 of about 180,090 (302)

Shaking Table Test of a Full-Scale RC Frame Structure with an Indoor Gas Piping System

open access: yesAdvances in Civil Engineering, 2022
To investigate the seismic behavior of a two-story RC frame structure with an indoor gas piping system, a shaking table test was performed and the data obtained from the shaking table test were analyzed in this paper.
Dezhang Sun   +6 more
doaj   +1 more source

Jerk in Earthquake Engineering: State-of-the-Art

open access: yesBuildings, 2022
The time derivative of acceleration, termed jerk, represents a physical property reflected through a sudden change of acceleration, and is expressed in m/s3. Since jerk is felt by humans, it has been widely used as a common (dis)comfort parameter.
Vladimir Vukobratović, Sergio Ruggieri
doaj   +1 more source

Analysis of Peak Ground Acceleration Attenuation Characteristics in the Pazarcik Earthquake, Türkiye

open access: yesApplied Sciences, 2023
This study collected acceleration records and station reports from 379 strong-motion stations triggered by the Mw7.7 earthquake in Pazarcik, Türkiye, on 6 February 2023.
Wei Wan   +5 more
doaj   +1 more source

Tough, Ductile, and Strong Hard‐Soft Cementitious Composite Enabled by Multi‐Material Additive Manufacturing

open access: yesAdvanced Materials, EarlyView.
Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine   +5 more
wiley   +1 more source

Analyses of strong motion earthquake accelerograms, Volume IV - Fourier amplitude spectra; Parts V, W, and Y - Accelerograms IV294 to IV333, IIW334 to IIW336, IIW338, IIW339, IIW342 to IIW345, and IIY370 to IIY381 [PDF]

open access: yes, 1975
The corrected records analyzed in this report, Volume IV, Parts V, W, and Y, appeared in Volume II, Part V, Report No. EERL 75-52, and Volume II, Parts W and Y, Report No. EERL 75-53.
Earthquake Engineering Research Laboratory,
core  

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Neural network aided stochastic computations and earthquake engineering

open access: yesComputer Assisted Methods in Engineering and Science, 2022
This article presents recent developments in the field of stochastic finite element analysis of structures and earthquake engineering aided by neural computations.
Nikos D. Lagaros   +4 more
doaj  

Analyses of strong motion earthquake accelerograms, Volume III - Response spectra; Part A - Accelerograms IIA001 through IIA020 [PDF]

open access: yes, 1972
This is the first volume of a series presenting earthquake response spectrum curves calculated from corrected ground accelerograms. An introduction summarizes response spectrum techniques in earthquake engineering as a background to the use of the data ...
Earthquake Engineering Research Laboratory,
core  

Fragility of Hydraulic Elevators for Use in Performance-Based Earthquake Engineering [PDF]

open access: yes, 2007
New performance-based earthquake engineering methods developed by the Pacific Earthquake Engineering Research Center, the Applied Technology Council, and others include damage analysis at a highly detailed level, requiring the compilation of fragility ...
Porter, Keith
core   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

open access: yesAdvanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu   +13 more
wiley   +1 more source

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