Results 151 to 160 of about 2,593,043 (289)
A staged three‐dimensional nonlinear soil–structure interaction (SSI) model is established, in which the initial geostress state, tunnel excavation, lining installation, delayed activation of the internal frame, and subsequent surcharge loading are simulated sequentially.
Xinyu Liu +3 more
wiley +1 more source
Explainable Ensemble Machine Learning for the Prediction and Optimization of Pozzolanic Concrete Compressive Strength. [PDF]
Jueyendah S, Ağcakoca E.
europepmc +1 more source
The Effect of Rainwater in Concrete Mixture on Concrete Compressive Strength
Adde Currie Siregar +4 more
openaire +1 more source
Developing a universal tunnel span classification from global tunnel databases
A universal tunnel span classification system is introduced that incorporates tunnel span, cross‐sectional area, typical tunnel types, and intended uses. Representative flatness ratio values are also provided for each span class. The classification is derived from a comprehensive database of 450 tunnel profiles from 47 countries.
Simon Heru Prassetyo +8 more
wiley +1 more source
Reliability-based mix design for concrete compressive strength using a physics-prior residual-learning surrogate with calibrated uncertainty. [PDF]
Qu P, Song L, Wang S.
europepmc +1 more source
This Review highlights how metal halide perovskites enable coupled selective organic oxidation and hydrogen evolution under visible light. It summarizes halide‐dependent design principles, surface engineering strategies, reaction mechanisms, and stability challenges, providing guidance for developing efficient and durable photocatalytic systems ...
Jutarat Jitrada +4 more
wiley +1 more source
Predicting concrete compressive strength using optimized deep learning and large language models. [PDF]
Zaman S +4 more
europepmc +1 more source
The Compressive Strength of the Lean-Concrete
Ote, Keiji, Takahashi, Tetsuo
openaire +1 more source
Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source

