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Bim Innovation Capability Programme Of Ireland, Barry McAuley, Alan Hore, Roger West 2017 Dublin Institute of Technology

Bim Innovation Capability Programme Of Ireland, Barry Mcauley, Alan Hore, Roger West

Conference papers

The Irish Government has requested that Enterprise Ireland, an organisation responsible for the development and growth of Irish enterprises in world markets to actively promote the use of BIM in Ireland. This promotion has taken the form of an opportunity for Enterprise Ireland clients to apply for a grant under their BIM Enable and BIM Implementation schemes and also through their funding of the BIM Innovation Capability Programme (BICP) of Ireland. The BICP is a two-year project (2016-2018) which seeks to capture the capability of the Irish Construction Industry and the Higher Education Institutes to respond to the increased requirement ...


Bridge Structural Condition Assessment Using 3d Imaging, Simon Laflamme, Yelda Turkan, Liangyu Tan 2017 Iowa State University

Bridge Structural Condition Assessment Using 3d Imaging, Simon Laflamme, Yelda Turkan, Liangyu Tan

Simon Laflamme

Objective, accurate, and fast assessment of bridge structural condition is critical to timely assess safety risks. Current practices for bridge condition assessment rely on visual observations and manual interpretation of reports and sketches prepared by inspectors in the field. Visual observation, manual reporting and interpretation has several drawbacks such as being labor intensive, subject to personal judgment and experience, and prone to error. Terrestrial laser scanners (TLS) are promising sensors to automatically identify structural condition indicators, such as cracks, displacements and deflected shapes, as they are able to provide high coverage and accuracy at long ranges. However, there is limited ...


Large-Scale Flexible Membrane For Automatic Strain Monitoring Of Transportation Infrastructure, Simon Laflamme, Venkata D. Kolipara, Hussam S. Saleem, Randall L. Geiger 2017 Iowa State University

Large-Scale Flexible Membrane For Automatic Strain Monitoring Of Transportation Infrastructure, Simon Laflamme, Venkata D. Kolipara, Hussam S. Saleem, Randall L. Geiger

Randall Geiger

Structural Health Monitoring (SHM) of transportation infrastructures is a complex task, typically conducted by visual inspection due to the technical and economical constrains of existing health monitoring technologies. It results that health monitoring is highly dependent on scheduling and on the judgment of the inspectors, which can be costly and ineffective. Thus, it is fundamental to automate the SHM process to allow timely inspection, maintenance, and management of transportation infrastructure. The authors propose a flexible membrane that can be deployed over large surfaces, at low cost, for automatic and continuous monitoring of strains. The membrane, termed sensing skin, is constituted ...


Peel Resistance Of Adhesive Joints With Elastomer–Carbon Black Composite As Surface Sensing Membranes, Wei Zeng, Weixing Sun, Nicola Bowler, Simon Laflamme 2017 Iowa State University

Peel Resistance Of Adhesive Joints With Elastomer–Carbon Black Composite As Surface Sensing Membranes, Wei Zeng, Weixing Sun, Nicola Bowler, Simon Laflamme

Nicola Bowler

The peel resistance of four adhesives (“J-B Weld” by J-B Weld (adhesive A), 3 M Scotch-Weld DP 125 Gy (adhesive B), Loctite PL Premium (3x) Construction Adhesive (adhesive C), and Henkel Hysol EA9394 (adhesive D)) is investigated for their bonding performance of a styrene‐ethylene/butylene‐styrene– carbon black (SEBS–CB) composite membrane used in structural health monitoring (SHM) applications. Tests are performed on membrane samples bonded on four common structural materials, namely aluminium, steel, concrete, and fiberglass, to obtain the peel resistance of adhesives. Results show that adhesive B has the highest strength for aluminium, steel, and fiberglass substrates ...


Natural Selection Of Asphalt Mix Stiffness Predictive Models With Genetic Programming, Kasthurirangan Gopalakrishnan, Sunghwan Kim, Halil Ceylan, Siddhartha K. Khaitan 2017 Iowa State University

Natural Selection Of Asphalt Mix Stiffness Predictive Models With Genetic Programming, Kasthurirangan Gopalakrishnan, Sunghwan Kim, Halil Ceylan, Siddhartha K. Khaitan

Siddhartha Khaitan

Genetic Programming (GP) is a systematic, domain-independent evolutionary computation technique that stochastically evolves populations of computer programs to perform a user-defined task. Similar to Genetic Algorithms (GA) which evolves a population of individuals to better ones, GP iteratively transforms a population of computer programs into a new generation of programs by applying biologically inspired operations such as crossover, mutation, etc. In this paper, a population of Hot-Mix Asphalt (HMA) dynamic modulus stiffness prediction models is genetically evolved to better ones by applying the principles of genetic programming. The HMA dynamic modulus (|E*|), one of the stiffness measures, is the primary ...


Non-Linear Inverse Analysis Of Transportation Structures Using Neuro-Adaptive Networks With Hybrid Learning Algorithm, Kasthurirangan Gopalakrishnan, Siddhartha K. Khaitan, Halil Ceylan 2017 Iowa State University

Non-Linear Inverse Analysis Of Transportation Structures Using Neuro-Adaptive Networks With Hybrid Learning Algorithm, Kasthurirangan Gopalakrishnan, Siddhartha K. Khaitan, Halil Ceylan

Siddhartha Khaitan

The load-bearing capacity of pavement structures is a fundamental structural performance metric of transportation infrastructure networks in the context of safe and efficient movement of people and goods from one place to another. Non-destructive test (NDT) methods are typically employed to routinely evaluate the structural condition of pavement structures, their lifespan and the appropriate maintenance activities to be carried out. This involves computing the Young’s modulus of each layer of the pavement structure through inverse analysis of acquired NDT data. Over the past two decades, soft computing techniques such as Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), and Fuzzy ...


Dynamic Characterization Of A Soft Elastomeric Capacitor For Structural Health Monitoring, Simon Laflamme, Filippo Ubertini, Hussam Saleem, Antonella D'Alessandro, Austin R.J. Downey, Halil Ceylan, Annibale L. Materazzi 2017 Iowa State University

Dynamic Characterization Of A Soft Elastomeric Capacitor For Structural Health Monitoring, Simon Laflamme, Filippo Ubertini, Hussam Saleem, Antonella D'Alessandro, Austin R.J. Downey, Halil Ceylan, Annibale L. Materazzi

Halil Ceylan

Structural health monitoring of civil infrastructures is a difficult task, often impeded by the geometrical size of the monitored systems. Recent advances in conducting polymers enabled the fabrication of flexible sensors capable of covering large areas, a possible solution to the monitoring challenge of mesoscale systems. The authors have previously proposed a novel sensor consisting of a soft elastomeric capacitor (SEC) acting as a strain gauge. Arranged in a network configuration, the SECs have the potential to cover very large surfaces. In this paper, understanding of the proposed sensor is furthered by evaluating its performance at vibration-based monitoring of large-scale ...


Novel Nanocomposite Technologies For Dynamic Monitoring Of Structures: A Comparison Between Cement-Based Embeddable And Soft Elastomeric Surface Sensors, Filippo Ubertini, Simon Laflamme, Halil Ceylan, Annibale L. Materazzi, Gianluca Cerni, Hussam Saleem, Antonella D'Alessandro, Alessandro Corradini 2017 University of Perugia

Novel Nanocomposite Technologies For Dynamic Monitoring Of Structures: A Comparison Between Cement-Based Embeddable And Soft Elastomeric Surface Sensors, Filippo Ubertini, Simon Laflamme, Halil Ceylan, Annibale L. Materazzi, Gianluca Cerni, Hussam Saleem, Antonella D'Alessandro, Alessandro Corradini

Halil Ceylan

The authors have recently developed two novel solutions for strain sensing using nanocomposite materials. While they both aim at providing cost-effective solutions for the monitoring of local information on large-scale structures, the technologies are different in their applications and physical principles. One sensor is made of a cementitious material, which could make it suitable for embedding within the core of concrete structures prior to casting, and is a resistor, consisting of a carbon nanotube cement-based transducer. The other sensor can be used to create an external sensing skin and is a capacitor, consisting of a flexible conducting elastomer fabricated from ...


Terrestrial Laser Scanning Roughness Assessments For Infrastructure, Ahmad A. Alhasan, David J. White 2017 Iowa State University

Terrestrial Laser Scanning Roughness Assessments For Infrastructure, Ahmad A. Alhasan, David J. White

David J. White

Road roughness is a key parameter for controlling pavement construction processes and for assessing ride quality of both paved and unpaved roads. This paper describes algorithms used in processing three-dimensional (3D) stationary terrestrial laser scanning (STLS) point clouds to obtain surface maps of point wise indices that characterize pavement roughness. The backbone of the analysis is a quarter-car model simulation over a spatial 3D mesh grid representing the pavement surface. Two case studies are presented, and results show high spatial variability in the roughness indices both longitudinally and transversely (i.e., different wheel path positions). It is proposed that road ...


Impacts Of Automated Machine Guidance On Earthwork Operations, Pavana K. R. Vennapusa, David J. White, Charles T. Jahren 2017 Iowa State University

Impacts Of Automated Machine Guidance On Earthwork Operations, Pavana K. R. Vennapusa, David J. White, Charles T. Jahren

David J. White

Use of automated machine guidance (AMG) that links sophisticated design software with construction equipment to direct the operations of construction machinery with a high level of precision, has the potential to improve the overall quality, safety, and efficiency of transportation construction. Many highway agencies are currently moving towards standardizing the various aspects involved in AMG with developing the design files to implementing them during construction. In this paper, two aspects of AMG and their impacts on earthwork operations are discussed. The first aspect deals with the estimation of earthwork quantities and its impact on productivity on costs. The second aspect ...


Earthwork Haul-Truck Cycle-Time Monitoring – A Case Study, Ahmad Abdulraheem Alhasan, David J. White 2017 Iowa State University

Earthwork Haul-Truck Cycle-Time Monitoring – A Case Study, Ahmad Abdulraheem Alhasan, David J. White

David J. White

Recent developments in autonomous technologies have motivated practitioners to adopt new technologies in highway and earthwork construction projects. This project set out to (1) identify new and emerging autonomous earthwork technologies and (2) set up a field study to monitor site-level equipment operations at an earthmoving project. The results of the first part of this study are described in a separate report (2015 Conference on Autonomous and Robotic Construction of Infrastructure [CARCI]). The information reported herein presents the results of the site-level monitoring of an earthwork project, where the objective was to quantify haul truck cycle time. The site selected ...


Earthwork Haul-Truck Cycle-Time Monitoring – A Case Study, Ahmad Abdulraheem Alhasan, David J. White 2017 Iowa State University

Earthwork Haul-Truck Cycle-Time Monitoring – A Case Study, Ahmad Abdulraheem Alhasan, David J. White

David J. White

Recent developments in autonomous technologies have motivated practitioners to adopt new technologies in highway and earthwork construction projects. This project set out to (1) identify new and emerging autonomous earthwork technologies and (2) set up a field study to monitor site-level equipment operations at an earthmoving project. The results of the first part of this study are described in a separate report (2015 Conference on Autonomous and Robotic Construction of Infrastructure [CARCI]). The information reported herein presents the results of the site-level monitoring of an earthwork project, where the objective was to quantify haul truck cycle time. The site selected ...


Comparative Performance Of Concrete Pavements With Recycled Concrete Aggregate (Rca) And Virgin Aggregate Subbases, Sunghwan Kim, Halil Ceylan, Kasthurirangan Gopalakrishnan, David J. White, Charles T. Jahren, Thang Huu Phan 2017 Iowa State University

Comparative Performance Of Concrete Pavements With Recycled Concrete Aggregate (Rca) And Virgin Aggregate Subbases, Sunghwan Kim, Halil Ceylan, Kasthurirangan Gopalakrishnan, David J. White, Charles T. Jahren, Thang Huu Phan

David J. White

Using recycled concrete aggregate (RCA) as base/subbase for road construction is alternative way to manage construction waste and reduces the need for virgin aggregates. This paper discusses the long-term performance of concrete pavements on RCA granular layer in comparison to concrete pavements on virgin aggregate granular layer. 18 representative RCA pavement sections across Iowa were primary selected considering state wide location and pavement age. Detailed visual distress surveys were conducted to identify the current pavement surface condition information and the primary distress on RCA granular layer pavement. The pavement information data for the surveyed RCA subbase sections and the ...


Terrestrial Laser Scanning Roughness Assessments For Infrastructure, Ahmad A. Alhasan, David J. White 2017 Iowa State University

Terrestrial Laser Scanning Roughness Assessments For Infrastructure, Ahmad A. Alhasan, David J. White

David J. White

Road roughness is a key parameter for controlling pavement construction processes and for assessing ride quality of both paved and unpaved roads. This paper describes algorithms used in processing three-dimensional (3D) stationary terrestrial laser scanning (STLS) point clouds to obtain surface maps of point wise indices that characterize pavement roughness. The backbone of the analysis is a quarter-car model simulation over a spatial 3D mesh grid representing the pavement surface. Two case studies are presented, and results show high spatial variability in the roughness indices both longitudinally and transversely (i.e., different wheel path positions). It is proposed that road ...


Earthwork Haul-Truck Cycle-Time Monitoring – A Case Study, Ahmad Abdulraheem Alhasan, David J. White 2017 Iowa State University

Earthwork Haul-Truck Cycle-Time Monitoring – A Case Study, Ahmad Abdulraheem Alhasan, David J. White

David J. White

Recent developments in autonomous technologies have motivated practitioners to adopt new technologies in highway and earthwork construction projects. This project set out to (1) identify new and emerging autonomous earthwork technologies and (2) set up a field study to monitor site-level equipment operations at an earthmoving project. The results of the first part of this study are described in a separate report (2015 Conference on Autonomous and Robotic Construction of Infrastructure [CARCI]). The information reported herein presents the results of the site-level monitoring of an earthwork project, where the objective was to quantify haul truck cycle time. The site selected ...


Impacts Of Automated Machine Guidance On Earthwork Operations, Pavana K. R. Vennapusa, David J. White, Charles T. Jahren 2017 Iowa State University

Impacts Of Automated Machine Guidance On Earthwork Operations, Pavana K. R. Vennapusa, David J. White, Charles T. Jahren

David J. White

Use of automated machine guidance (AMG) that links sophisticated design software with construction equipment to direct the operations of construction machinery with a high level of precision, has the potential to improve the overall quality, safety, and efficiency of transportation construction. Many highway agencies are currently moving towards standardizing the various aspects involved in AMG with developing the design files to implementing them during construction. In this paper, two aspects of AMG and their impacts on earthwork operations are discussed. The first aspect deals with the estimation of earthwork quantities and its impact on productivity on costs. The second aspect ...


Smart Sensing Skin For Detection And Localization Of Fatigue Cracks, Sari Kharroub, Simon Laflamme, Chunhui Song, Daji Qiao, Brent M. Phares, Jian Li 2017 Iowa State University

Smart Sensing Skin For Detection And Localization Of Fatigue Cracks, Sari Kharroub, Simon Laflamme, Chunhui Song, Daji Qiao, Brent M. Phares, Jian Li

Daji Qiao

Fatigue cracks on steel components may have strong consequences on the structure's serviceability and strength. Their detection and localization is a difficult task. Existing technologies enabling structural health monitoring have a complex link signal-to-damage or have economic barriers impeding large-scale deployment. A solution is to develop sensing methods that are inexpensive, scalable, with signals that can directly relate to damage. The authors have recently proposed a smart sensing skin for structural health monitoring applications to mesosystems. The sensor is a thin film soft elastomeric capacitor (SEC) that transduces strain into a measurable change in capacitance. Arranged in a network ...


Building Information Modelling In Ireland 2017, Barry McAuley, Alan Hore, Roger West 2017 Dublin Institute of Technology

Building Information Modelling In Ireland 2017, Barry Mcauley, Alan Hore, Roger West

Reports

BIM is perhaps the most topical issue in construction throughout the world at present, as it is associated with solving so many of the present concerns in our industry.

Our lack of housing, shortage of skilled workers, poor document management, overrunning project budgets and sustainability challenges are just a few of the challenges that BIM promises to assist in solving.

The increasing importance of “digitisation” to modern construction and engineering businesses is becoming more apparent as more and more clients are explicitly asking for BIM in the design and delivery of new facilities and infrastructure.

This report provides a snapshot ...


Schedule And Cost Performance Analysis And Prediction In Louisiana Dotd, MAHMOUD HAMIDE 2017 UNIVERSITY OF NEW ORLEANS

Schedule And Cost Performance Analysis And Prediction In Louisiana Dotd, Mahmoud Hamide

University of New Orleans Theses and Dissertations

Many construction projects in the United States are facing the risk of cost overrun and schedule delays. This is also happening here in the State of Louisiana. When these things happen, it causes cost overrun which can then be passed on to the tax payers and may also cause the state to take on less projects than they normal. Many researchers have studied the reasons behind both the cost overrun and the delays resulting in private firms, developing project management tools and best practices to prevent this risk. In this research, I aim to study the historical trend in 2912 ...


Netpoint®, Purdue ECT Team 2017 Construction Engineering & Management, Purdue University

Netpoint®, Purdue Ect Team

ECT Fact Sheets

The vast majority of construction scheduling software uses a combination of spreadsheets and Gantt charts for developing and depicting Critical Path Method (CPM) schedules. While this paradigm works for the expert scheduler, it is not conducive to collaboration, and it is prohibitively difficult for non-scheduling experts to understand.

NetPoint® provides a dynamic, visual interface conducive to touch and gestural input. Activities are drawn directly on a time-scale and may be placed on the same row or arranged automatically using codes or the WBS. Such control of the presentation makes it easier to communicate the plan to any type of audience ...


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