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Articles 1 - 4 of 4
Full-Text Articles in Engineering
Evaluation Of Bagasse Ash As Cement And Sand Replacement For The Production Of Engineered Cementitious Composites (Ecc), Gabriel Arce, Marwa Hassan, Sujata Subedi, Ana Rivas, Samantha Hidalgo, Hugo Eguez
Evaluation Of Bagasse Ash As Cement And Sand Replacement For The Production Of Engineered Cementitious Composites (Ecc), Gabriel Arce, Marwa Hassan, Sujata Subedi, Ana Rivas, Samantha Hidalgo, Hugo Eguez
Data
The objective of this study was to develop novel Engineered Cementitious Composites (ECC) materials implementing sugarcane bagasse ash (SCBA). To this end, the effects on the mechanical and physical properties of ECC materials of: (1) Louisiana raw SCBA (RBA) as a partial and complete replacement of sand (i.e., class S mixtures); (2) Louisiana post-processed SCBA (PBA) as a partial replacement of cement (i.e., class C mixtures); and (3) Ecuador raw SCBA (EBA) as a partial and complete replacement of sand (i.e., class S-E mixtures) were studied. Sand replacement levels with RBA and EBA evaluated were 25, 50, 75, and 100% …
Assessment Of Material State For Predicting The Durability Of Composites, Vamsee Vadlamudi, Muthu Ram Prabhu Elenchezhian, Partha Pratim Das, Rassel Raihan, Kenneth Reifsnider
Assessment Of Material State For Predicting The Durability Of Composites, Vamsee Vadlamudi, Muthu Ram Prabhu Elenchezhian, Partha Pratim Das, Rassel Raihan, Kenneth Reifsnider
Institute of Predictive Performance Methodologies (IPPM-UTARI)
The long term behavior of composites have been extensively studied for the last four decades. Given the heterogeneity of these materials, the damage accumulation mechanisms lead to superior fatigue performance of composites compared to metals. However, due to the ‘sudden death’ behavior controlled by defect coupling, the precursor to fracture plane development of these materials, the challenge remains on how to assess the real-time material state and predict when it becomes critical? In the recent past, broadband dielectric spectroscopy (BbDS) has been used successfully to assess the material state and predict the material state change (triggered by defect coupling) for …
Evaluation Of Long Term Durability In Concrete With External Pre-Saturated Cfrp Laminate, Ramya Anandhan
Evaluation Of Long Term Durability In Concrete With External Pre-Saturated Cfrp Laminate, Ramya Anandhan
Civil Engineering Theses
Many studies have investigated the use of carbon fiber reinforced polymer (CFRP) wraps to strengthen structural members, but there is limited literature on the application of presaturated CFRP wraps on reinforced concrete members. The main objective of this research is to study the long-term effectiveness of presaturated CFRP wraps in preventing corrosion of reinforced concrete specimens in severe environments. This paper presents numerical and experimental studies that were conducted to determine whether CFRP presaturated wraps provide a barrier against the ingress of chloride and permeability of water into concrete and thereby decelerate the corrosion process. The results show that the …
Durability And Prediction Of Long-Term Performance Of Carbon Fiber Reinforced Polymer (Cfrp) Laminates Under Environmental Conditions, Eyad Alsuhaibani
Durability And Prediction Of Long-Term Performance Of Carbon Fiber Reinforced Polymer (Cfrp) Laminates Under Environmental Conditions, Eyad Alsuhaibani
Civil Engineering Dissertations
Strengthening deteriorated concrete structures with carbon fiber reinforced polymer (CFRP) has been widely validated through laboratory experiments and field tests. Questions and concerns persist related to the CFRP’s long-term performance and service life, however, thus the main objective of this research was to evaluate its durability under various environmental conditions. This research is divided into four distinct phases. In the first phase, the deterioration trends of CFRP laminate under environmental regimes were evaluated after immersion in water at 23, 45, and 60 °C for periods up to 32 weeks. In the second phase, four prediction models of the long-term performance …