Arash Teymori Gharah Tapeh- Doctor of Philosophy
- Research Assistant at Clemson University
Arash Teymori Gharah Tapeh
- Doctor of Philosophy
- Research Assistant at Clemson University
About
7
Publications
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Introduction
Current institution
Publications
Publications (7)
In the rapidly evolving optimization and metaheuristics domains, the efficacy of algorithms is crucially determined by the benchmark (test) functions. While several functions have been developed and derived over the past decades, little information is available on the mathematical and visual description, range of suitability, and applications of ma...
Assessing the ability of reinforced concrete (RC) columns to withstand the effects of fire is a multifaceted and intricate problem due to the various factors that influence their fire response. As such, engineers may find it challenging to precisely predict such fire resistance. While some codal provisions exist and fire testing/advanced modeling c...
![Fig. 1 Results of a scientometrics analysis on [causality], [causal...](profile/Mz-Naser/publication/370462459/figure/fig1/AS:11431281155061904@1683036089737/Results-of-a-scientometrics-analysis-on-causality-causal-discovery-and-causal_Q320.jpg)
Much of our experiments are designed to uncover the cause(s) and effect(s) behind a phenomenon (i.e., data generating mechanism) we happen to be interested in. Uncovering such relationships allows us to identify the true workings of a phenomenon and, most importantly, to realize and articulate a model to explore the phenomenon on hand and/or allow...
Concrete, encountering harsh conditions such as fire, is prone to damage. One of the most critical ones is spalling, and this tragic event continues to be a challenging area of research. A thorough examination of the available literature reveals the difficulty of anticipating spalling. As a result, this work proposes a nomogram as a tool to predict...
This paper presents preliminary results to describe the fire-induced spalling of concrete using explainable artificial intelligence (XAI). One thousand fire tests were collected from the literature consisting of twenty-two different mechanical, environmental, material, and geometrical parameters, creating the largest spalling database (up to date)....
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging techniques capable of delivering elegant and affordable solutions which can surpass those obtained through traditional methods. Despite the recent and rapid advancements in developing next-gen AI-based techniques, we continue to lack a systemic understanding of...
Fire-induced spalling of concrete continues to be an intriguing and intricate research problem. A deep dive into the open literature highlights the alarming discrepancy and inconsistency of existing theories, as well as the complexity of predicting spalling. This brings new challenges to creating fire-safe concretes and primes an opportunity to exp...
