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Full-Text Articles in Computational Engineering

Early-Age Strength And Failure Characteristics Of 3d Printable Polymer Concrete: Numerical Modelling And Experimental Testing, Mohammad Amin Dehghani Najvani Dec 2023

Early-Age Strength And Failure Characteristics Of 3d Printable Polymer Concrete: Numerical Modelling And Experimental Testing, Mohammad Amin Dehghani Najvani

Civil Engineering ETDs

The time-dependent rheological and early-age strength parameters of Polymer concrete (PC) were investigated. PC flow decreased, and the static yield stress and thixotropy increased as the specimen aged, while the dynamic yield stress remained unchanged. The study found that the Herschel-Bulkley model can accurately describe the PC’s rheological behavior over time. The change in cohesion strength and internal friction angle over time was observed using uniaxial unconfined compression and direct shear tests of fresh PC. A time-dependent MohrCoulomb failure criterion was established. Temperature analysis was used to determine the gel time and explain the evolution of the time-dependent early-age strength …


Machine Learning-Based Data And Model Driven Bayesian Uncertanity Quantification Of Inverse Problems For Suspended Non-Structural System, Zhiyuan Qin May 2023

Machine Learning-Based Data And Model Driven Bayesian Uncertanity Quantification Of Inverse Problems For Suspended Non-Structural System, Zhiyuan Qin

All Dissertations

Inverse problems involve extracting the internal structure of a physical system from noisy measurement data. In many fields, the Bayesian inference is used to address the ill-conditioned nature of the inverse problem by incorporating prior information through an initial distribution. In the nonparametric Bayesian framework, surrogate models such as Gaussian Processes or Deep Neural Networks are used as flexible and effective probabilistic modeling tools to overcome the high-dimensional curse and reduce computational costs. In practical systems and computer models, uncertainties can be addressed through parameter calibration, sensitivity analysis, and uncertainty quantification, leading to improved reliability and robustness of decision and …


A Computational Framework For Aerodynamic And Aeroelastic Modeling Of Wind Loads On Tall Buildings, Abiy Fantaye Melaku Jan 2023

A Computational Framework For Aerodynamic And Aeroelastic Modeling Of Wind Loads On Tall Buildings, Abiy Fantaye Melaku

Electronic Thesis and Dissertation Repository

Driven by the burgeoning growth of computing power over the last few decades, the capability of computational fluid dynamics (CFD) to simulate turbulent flows of practical interest has progressed rapidly. In the past, a notable research effort has been dedicated to applying CFD for modeling wind loads on structures, particularly for tall buildings. However, the current state of CFD for wind load evaluation of tall buildings using Large-Eddy Simulation (LES) has several critical challenges, including the treatment of atmospheric boundary layer (ABL) flow conditions, turbulence modeling of separated flows around buildings, and simulation of wind-structure interaction for dynamically sensitive buildings. …