Results 181 to 190 of about 158,007 (309)
ABSTRACT In February 2023, a comprehensive series of shaking table tests were conducted at the E‐Defense facility, the world's largest three‐dimensional earthquake simulator, on a full‐scale 10‐story steel moment‐resisting frame supplemented with BRBs.
Jun Fujiwara +9 more
wiley +1 more source
Real-time prediction of early concrete compressive strength using AI and hydration monitoring. [PDF]
Marchewka A +2 more
europepmc +1 more source
ABSTRACT This paper illustrates opportunities for the use of simulated ground motions in seismic performance assessment – from seismic hazard, ground‐motion selection, response history analysis, and seismic demand hazard calculation. The illustration is through a comparative analysis with the conventional alternative of observed ground motions.
Vahid Loghman +2 more
wiley +1 more source
Artificial bee colony optimized random forest model for prediction of fly ash concrete compressive strength. [PDF]
Bali M, Mishra VP, Yenkikar A.
europepmc +1 more source
Study on the Influence of Slope Static Load on Shallow Lining Support Structure
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang +3 more
wiley +1 more source
Prediction of Concrete Compressive Strength Based on ISSA-BPNN-AdaBoost. [PDF]
Li P, Zhang Z, Gu J.
europepmc +1 more source
THE ANALYSIS OF THE COMPRESSION STRENGTH OF CONCRETE
openaire +1 more source
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen +6 more
wiley +1 more source
Prediction of concrete compressive strength using a Deepforest-based model. [PDF]
Zhang W, Guo J, Ning C, Cheng R, Liu Z.
europepmc +1 more source

