Structural failures, damage assessment, repair, strengthening, retrofitting

2010 ◽  
Keyword(s):  
Damage Assessment ◽  
Structural Failures

Review on Experimental Study on Effect of Corrosion In Reinforced Concrete Fly-Ash Beam

2020 ◽  
pp. 92-96
Author(s):  
Shubham N. Dadgal ◽  
Shrikant Solanke
Keyword(s):  
Fly Ash ◽  
Bond Strength ◽  
Structural Damage ◽  
Pullout Test ◽  
Partial Replacement ◽  
Structural Members ◽  
Accelerated Corrosion ◽  
Resistivity Method ◽  
Electrical Resistivity Method ◽  
Structural Failures

In modern days for structures in coastal areas it has been observed that the premature structural failures are occurs due to corrosion of the reinforcements of the designed structural member. The corrosion causes the structural damage which in turn leads to reduction in the bearing capacity of the concerned structural members. The aim of this study was to study the effect of partial replacement of fly ash to minimize the corrosion effect. Beams were designed and corroded by using artificial method known accelerated corrosion method. The beams were then tested for flexural and bond strength. Also the weight loss of the reinforced bars was been determined using electrical resistivity method. The fly ash will replace by 10% and 15%.The strength will calculate at varying percentage of corrosion at 10% and 15%. Beams will cast at M25 grade concrete. The flexural strength will test by using UTM and the bond strength will calculate using pullout test.

Nonlinear Viscoelastic Finite Element Analysis of Adhesive Joints

1988 ◽  
Vol 16 (3) ◽  
pp. 146-170 ◽  
Author(s):  
S. Roy ◽  
J. N. Reddy
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Viscoelastic Behavior ◽  
Bonded Joints ◽  
Adhesively Bonded ◽  
Element Analysis ◽  
Adhesively Bonded Joints ◽  
Nonlinear Viscoelastic ◽  
Structural Failures ◽  
Updated Lagrangian

Abstract A good understanding of the process of adhesion from the mechanics viewpoint and the predictive capability for structural failures associated with adhesively bonded joints require a realistic modeling (both constitutive and kinematic) of the constituent materials. The present investigation deals with the development of an Updated Lagrangian formulation and the associated finite element analysis of adhesively bonded joints. The formulation accounts for the geometric nonlinearity of the adherends and the nonlinear viscoelastic behavior of the adhesive. Sample numerical problems are presented to show the stress and strain distributions in bonded joints.

LADA Synchronization for Symmetric and Asymmetric ATE Test Program Cycles

2019 ◽  
Author(s):  
Arun Kumar Karunanithi ◽  
Joseph Caroselli ◽  
Jason Christensen ◽  
Michell Espitia
Keyword(s):  
Cycle Time ◽  
Dwell Time ◽  
Turnaround Time ◽  
Test Program ◽  
Area Of Interest ◽  
Marginal State ◽  
Structural Failures ◽  
Major Factors ◽  
High Level ◽  
Program Cycle

Abstract Laser Assisted Device Alteration (LADA) or Soft Defect Localization (SDL) is commonly used to root cause device marginality due to functional or structural failures. At a high level, LADA involves setting the device under test (DUT) at its marginal state and using focused near infra-red laser beams to perturb sensitive circuitry [1]. Scanning the focused laser beam over the die can be a long and time-consuming process. In this paper, two LADA cases are presented, which involve a parametric measurement failure while running a dynamic ATE test. Using LADA technique, these two cases were root caused. These two cases also explain how a parametric measurement-based LADA can be setup on ATE, as well as a synchronization method independent of vectors in a pattern. Synchronization was necessitated in the 2nd case due to the asymmetric test program loop, as well as the long test program cycle time. There are many factors which impact LADA turnaround time and it can take anywhere between few seconds to one day. The two major factors are the size of the Area of Interest (AOI) and test program cycle time. Test program cycle time influences the laser “dwell time” for LADA. Dwell time, in simple terms, is the total time the laser is parked at each pixel. The laser can also be synchronized with the test program cycle, keeping the two always in phase. This is explained in Case 2, where LADA synchronization was implemented, and the analysis was successfully completed in time, even though the test cycle time was very long.

Aircraft Battle Damage Assessment and Repair (ABDAR). Volume 3: Field Test Report

2000 ◽  
Author(s):  
Scott MacBeth ◽  
Johnnie Jernigan ◽  
Jackie Grody ◽  
Donald L. Thomas ◽  
Michael E. Clark
Keyword(s):  
Field Test ◽  
Damage Assessment ◽  
Test Report ◽  
Battle Damage Assessment

Wildfire Damage Assessment of a Young Oak Forest in Pennsylvania

2013 ◽  
Vol 23 (1) ◽  
pp. 91-104 ◽  
Author(s):  
Marc D. Abrams ◽  
Sarah E. Johnson
Keyword(s):  
Damage Assessment ◽  
Oak Forest

scholarly journals Features of Cross-Correlation Analysis in a Data-Driven Approach for Structural Damage Assessment

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1571 ◽  
Author(s):  
Jhonatan Camacho Navarro ◽  
Magda Ruiz ◽  
Rodolfo Villamizar ◽  
Luis Mujica ◽  
Jabid Quiroga
Keyword(s):  
Correlation Analysis ◽  
Damage Assessment ◽  
Structural Damage ◽  
Cross Correlation ◽  
Data Driven ◽  
Cross Correlation Analysis ◽  
Data Driven Approach
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