Biography:

Prof. K M Bajoria has completed his PhD at the age of 27 years from Cambridge University on three dimensional aspects of progressive collapse of steel structures and also postdoctoral research at Cambridge University Department of Engineering. He is Professor of Civil Engineering at Indian Institute of Technology Bombay, a premier technical university in India. He has published more than 90.papers in reputed journals and international conferences and has served as chairman of Indian Association for Structural Rehabilitation. His active area of research is application of smart materials to improve the structural performance of traditional steel structures.

Abstract:

Shape Memory Alloys have a wide range of applications due to their special properties. The properties like shape memory effect, super elasticity and high damping are useful to enhance structural behavior and seismic resistance. In this paper, shape memory effect of two different alloys NiTi and Fe based SMA is used to enhance the structural properties of a steel Moment Resisting Frame and comparison of response of frame with connection of two different alloys is studied. The finite element analysis of moment resisting frames was done using Ansys - 15. The geometry and loading conditions of frames were taken from previous research. For the comparison of structural behavior of the steel frame with Shape Memory Alloy at beam column connection was checked for lateral loading. Also the response of the frame was checked for time history analysis using past earthquake data. Comparison of the time history analysis response of bare frame (Steel only connections) and frame with use of SMA at connection suggested excellent performance of frame equipped with SMA.

 The main aim of the study is reducing residual displacement of steel frames after earthquake loading. To check the performance of the frame for loading unloading cycle, incremental lateral loading is applied to the frame up to maximum load and then it is unloaded completely.  The SMA equipped frame shows almost 85% recovery of the residual displacement. The reduction in residual displacement of the SMA equipped frame is also seen in case of time history analysis. Though Ni-Ti SMAs show a little more recovery in residual displacement, cost comparison shows using Fe based SMA in Civil Engineering industry will be beneficial for the maximum utilization of material with lesser cost. The result signifies the use of innovative material Ferro SMA excellent performance in steel frames.

Biography:

Dr. Taek-Ryong Seong received his Ph.D. in Steel structural engineering at Seoul National University, Korea. His main area of interest is development of high performance steel and application technology, performance evaluation of steel for bridge applications. He is currently group leader of steel structure research group at POSCO. POSCO’s steel structure research group develops steel application technology for construction, energy infrastructure industries and is the key feature of POSCO’s solution marketing.

Abstract:

In Korea, various high performance steel for construction applications have been developed for specific structural applications. POSCO have been developing high performance steel and application technologies to provide various values to construction industry. From development of high performance steel, structural/fabrication performance evaluation, development of codes/guides to test-bed site applications. Values such as fast erection (easy construction), sustainability, additional room space, are just some of additional benefits steel structure can provide.

In this presentation, we will present various solutions in construction using high performance steel. From high-rise buildings to bridges and piles various success stories in steel structural application will be presented. POSCO’s steel application technology will provide technical solutions and various values in steel structural application.

Biography:

It is widely known that the behavior of steel frames is affected by the uncertainty of the beam-to-column connections. It is usually found that these connections are neither ideally pinned, nor perfectly rigid, but rather exhibit a semi-rigid behavior. Buildings codes such as the Euro code 3 introduce the concept of semi-rigid connections in terms of fixity factors or connection percentage. In particular, the limit values of the fixity factors for pinned and rigid joints in steel structures are 14% and 89%, respectively. Based on these values, and considering the largely scattered results observed in experiments, even when the same kind of connection is involved, in this contribution we perform an analytical, probabilistic study to characterize the stochastic structural response of semi-rigid connections in steel structures. The main goal is to assess to what extent the uncertainty of the semi-rigid connection propagates into the structural response. More specifically, the semi-rigid connection is idealized and modeled as a rotational spring at the beam end (representative of the initial stiffness of the joint) and the spring rotational stiffness is assumed as a uniformly distributed random variable. The two extremes of the uniform random variable are assumed equal to the aforementioned values indicated by the Euro code 3 for semi-rigid connections, namely 14% and 89%. The probability density function of a few response indicators, such as the mid-span deflection, the bending moment, and the element stiffness matrix terms, is computed. Misleading (and in some cases non-conservative) conclusions from a design viewpoint might be drawn unless the probabilistic nature of the structural response is properly accounted for, i.e., when resorting to a deterministic approach. This is evidenced by comparing the probability-based response with the deterministic response arising from an average value of the fixity factor being intermediate between the two extremes. The present analysis has been carried out for individual beams as well as for simple steel frames.

Abstract:

Nicola Impollonia is professor of Strength of Materials at the school of Architecture, University of Catania (Italy). He has published more than 30 papers in reputed journals and he is a member of the ECSS Buckling Workgroup at ESA.

Biography:

Poonam Kumari has completed her Master’s and PhD in Solid Mechanics from Department of Applied Mechanics of IIT Delhi. She worked as Postdoctoral Fellow at School of Engineering of Simon Fraser University, BC Canada. Presently she is working as Assistant Professor at Department of Mechanical Engineering of IIT Guwahati. She published 22 papers in reputed International Journals. She developed analytical three-dimensional mathematical models of hybrid laminated plates subjected to arbitaray support conditons. Recently, 3D solution of longitudinally functionally graded plate subjected to arbitrary boundary conditions is developed.

Abstract:

Piezoelectric materials are the most preferred material in a wide range of engineering applications in sensing and control such as energy harvesting, structural health monitoring, sound navigation and ranging (SONAR), vibration and noise control. Composite and sandwich laminates with piezoelectric actuators and sensors evoked a tremendous research interest in the field of designing and development of lightweight multi-functional structures known as smart or intelligent structures. The behaviour of smart structures is very complex and pose a difficult challenge for analysis because of coupling between electromechanical entities and stress concentration at interfaces. Three-dimensional piezoelasticity solutions can predict accurately the complex behaviour of piezoelectric laminated plates and also act as benchmark for assessing various approximate 2D theories. Further, these 3D solutions help for making the suitable kinematics or kinetics assumptions for the development of 2D theories. The 3D analysis were applied to analyse the all round simply supported plates. There are very limited articles reported about the development of 3D analysis of piezoelectric plates subjected to arbitrary boundary conditions. In this paper, a systemantic mathematical develpment of governing equations for smart laminated plate is presented. The governing partial differential equations for plates are reduced to ordinary differential equations in the thickness (z) and in-plane (x) directions by applying the recently developed multi-term multi-field extended Kantorovich method in conjuction with Fourier series along y-direction which satisfies the Levy-type support conditions along the y-axis. The accuracy and efficacy of this method is verified thoroughly by comparing it with the existing results in the literature and FE solutions. The numerical results are presented hybrid composites and sandwich plates.

Biography:

Anwar Alroomi has completed her PhD degree in Civil and Environmental Engineering from Oklahoma State University in 2013. She is an Assistant Professor and the Construction Management Program Coordinator at California State University, Northridge (CSUN). Her research focuses on cost estimating; not just the profession of cost estimating but the behavior and skills that are required of a proficient cost estimator. In addition, her research focuses on developing cost models to estimate the construction costs for marine outfalls. She also serves in the Department of Civil Engineering and Construction Management and Aims Faculty Mentor at the College of Engineering and Sciences at CSUN.

Abstract:

Perhaps the greatest challenge facing the cost-estimating community over the next decade is the loss of knowledge and experience of highly experienced estimators due to the high percentage of them retiring paired with the evident shortage of qualified cost estimators. This study aims to develop an integrative learning framework for the estimating profession that will help companies adapt healthier environment and management practices to retain experienced estimators’ competencies. This multi-dimensional framework considers the effect of the learning environment and motivation (intrinsic and extrinsic) practices on retaining and developing the estimating competencies. First, 23 core estimating competencies are identified and classified into skills, knowledge, and personal attributes and also quantified the degree of which new estimators lack each competency. Using factor analysis and criticality matrix, the gaps between the ideal and actual level of competency are assessed and seven core estimating competency factors representing the core estimating competencies are developed. The second phase assess the effectiveness of ten traditional and advanced capture and transfer methods in retaining the core estimating competency factors. Also, the current level of development of the learning environment, and intrinsic and extrinsic motivations practices and their effects on the improvement of estimators’ capabilities are assessed. The Structural Equation Modeling (SEM) method is employed. As a result, the integrative model for the cost estimating profession is developed showing the effective methods to retain the estimating competency factors. This study can help companies assess their estimators’ capabilities and design appropriate training programs for their estimators based on their specific needs, and improve companies’ practices in retaining estimators competencies. 

Biography:

Anwar Alroomi has completed her PhD degree in Civil and Environmental Engineering from Oklahoma State University in 2013. She is an Assistant Professor and the Construction Management Program Coordinator at California State University, Northridge (CSUN). Her research focuses on cost estimating; not just the profession of cost estimating but the behavior and skills that are required of a proficient cost estimator. In addition, her research focuses on developing cost models to estimate the construction costs for marine outfalls. She also serves in the Department of Civil Engineering and Construction Management and Aims Faculty Mentor at the College of Engineering and Sciences at CSUN.

Abstract:

Perhaps the greatest challenge facing the cost-estimating community over the next decade is the loss of knowledge and experience of highly experienced estimators due to the high percentage of them retiring paired with the evident shortage of qualified cost estimators. This study aims to develop an integrative learning framework for the estimating profession that will help companies adapt healthier environment and management practices to retain experienced estimators’ competencies. This multi-dimensional framework considers the effect of the learning environment and motivation (intrinsic and extrinsic) practices on retaining and developing the estimating competencies. First, 23 core estimating competencies are identified and classified into skills, knowledge, and personal attributes and also quantified the degree of which new estimators lack each competency. Using factor analysis and criticality matrix, the gaps between the ideal and actual level of competency are assessed and seven core estimating competency factors representing the core estimating competencies are developed. The second phase assess the effectiveness of ten traditional and advanced capture and transfer methods in retaining the core estimating competency factors. Also, the current level of development of the learning environment, and intrinsic and extrinsic motivations practices and their effects on the improvement of estimators’ capabilities are assessed. The Structural Equation Modeling (SEM) method is employed. As a result, the integrative model for the cost estimating profession is developed showing the effective methods to retain the estimating competency factors. This study can help companies assess their estimators’ capabilities and design appropriate training programs for their estimators based on their specific needs, and improve companies’ practices in retaining estimators competencies. 

Biography:

Meor Iqram Meor Ahmad joined the Department of Mechanical Engineering at The University of Sheffield in May 2015 as a Ph.D. student and currently in the 3rd years of his research. He is the committee member of Computer-Aided Aerospace and Mechanical Engineering (CA2M) Research Group at the University of Sheffield. He also has been published six journal papers since becoming researchers in his research area. His research interest is in the mathematical modeling of structural integrity, fracture damage and creep.

Abstract:

This contribution aim is to develop the extended prediction of numerical simulation for crack ductile fracture behaviours. The Rousselier’s damage model is chosen to describe the damage mechanism by implementing their constitutive law into UMAT subroutine code. In order to enhance the development of crack growth, the Extended Finite Element Method (XFEM) is used, which has a capability to calculate the discontinuity element without need any remeshing purpose. This study is discussed in the context of finite element results of a symmetrically single-notched and CTS specimen, which will be verified with experimental data. As a result, these were found to be good correlation in terms of stress-strain curve, the crack path and also load-displacement accuracy. Therefore, from this experience, it is demonstrated that the capability of XFEM linked with Rousselier’s model for resulting numerical formulation in structural damage benchmark problems.