Results 251 to 260 of about 7,736,972 (396)
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
Building material price data for predictive cost estimation in construction. [PDF]
Olowe OT, Adebiyi A, Obagbuwa IC.
europepmc +1 more source
Evolutionary Analysis of Multi-Agent Interactions in the Digital Green Transformation of the Building Materials Industry [PDF]
Yonghong Ma, Zihui Wei
openalex +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Analyzing barriers to construction waste minimization and circular economy culture in Building projects using fuzzy DEMATEL. [PDF]
Shahid MU, Ali M.
europepmc +1 more source
Building a Sustainable Manufacturing Industry: The Role of Innovativeness and Other Strategic Factors [PDF]
Júlio César Ferro de Guimarães +5 more
openalex +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Reviewing the 95 sociotechnical barriers to the decarbonization of buildings. [PDF]
Heinz E, Sovacool BK, Kwan T, Petit V.
europepmc +1 more source

