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The Effect of Change-Order Management Factors on Construction Project Success: A Structural Equation Modeling Approach
(
American Society of Civil Engineers
, 2022 , Article)
Managing change order is a critical area of concern in the construction industry, owing to the resulting disputes, claims, productivity losses, delays, and cost repercussions. There have been various studies proposing both ...
Defensive or competitive Autonomous Vehicles: Which one interacts safely and efficiently with pedestrians?
(
Elsevier
, 2022 , Article)
The emergence of Autonomous Vehicles (AVs) could provoke unexpected challenges in urban traffic environments. One such crucial challenge is the conflicts between pedestrians and AVs, particularly on unsignalized mid-block ...
An Adaptive Neurofuzzy Inference System for the Assessment of Change Order Management Performance in Construction
(
American Society of Civil Engineers (ASCE)
, 2021 , Article)
Change order management is a major challenge in the construction business due to the associated disputes, claims, productivity losses, delays, and cost implications. As a result, effective change order management (COM) is ...
Examining engineering students' perceptions of learner agency enactment in problem- and project-based learning using Q methodology
(
John Wiley and Sons Inc
, 2022 , Article)
Background: Few studies have reported how students enact learner agency in a team setting or examined what elements of team settings students perceive as more supportive of their learning in problem- and project-based ...
Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM
(
Elsevier
, 2022 , Article)
This paper presents a data-driven approach to determine the load and flexural capacities of reinforced concrete (RC) beams strengthened with fabric reinforced cementitious matrix (FRCM) composites in flexure. A total of ...
Modeling and sensitivity analysis of the forward osmosis process to predict membrane flux using a novel combination of neural network and response surface methodology techniques
(
MDPI AG
, 2021 , Article)
The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) ...
Discrepancy in the Critical State Void Ratio of Poorly Graded Sand due to Shear Strain Localization
(
American Society of Civil Engineers (ASCE)
, 2020 , Article)
The critical state (CS) concept is a theoretical framework that models the constitutive behavior of soils, including sand and other granular materials. It supports the notion of a unique postfailure state, where the soil ...
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
(
Springer
, 2022 , Article)
Purpose
We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target ...
MXene (Ti3 C2 Tx )/Cellulose Acetate Mixed-Matrix Membrane Enhances Fouling Resistance and Rejection in the Crossflow Filtration Process
(
MDPI
, 2022 , Article)
Obstacles in the membrane-based separation field are mainly related to membrane fouling. This study involved the synthesis and utilization of covalently crosslinked MXene/cellulose acetate mixed matrix membranes with MXene ...
Durability characteristics of high and ultra-high performance concretes
(
Elsevier
, 2021 , Article)
Durability characteristics of high-performance concrete (HPC) and ultra-high performance concrete (UHPC) are evaluated in comparison to normal strength concrete (NSC). HPC and UHPC are cast using commonly available materials ...