LIVE WEBINAR .. DATA DRIVEN ANALYSIS FOR BRIDGE ASSET MANAGEMENT

LIVE WEBINAR .. DATA DRIVEN ANALYSIS FOR BRIDGE ASSET MANAGEMENT

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We are approved provider by:

  • NJ Board of Professional Engineers and Land Surveyors
  • New York Board of Professional Engineers , Sponsor # 201  beginning 2/1/2021 to 1/31/2024
  • Florida Board of Professional Engineers: Laws and Rules and Ethics, Provider number 0007543 (Ethics) 0010489
  • Florida Board of Professional Engineers: CE provider Provider number 0007543
  • Maryland Board for Professional Engineers

Data Driven Analysis of Bridge Asset Management

Extending the useful service life of aging bridges is a critical issue of national interest. One problem faced by the US transportation industry is the degradation of structural components of highway bridges.  Examples of this include effect of aging on performance subject to normal service conditions and extreme events (natural disasters or human induced). It is very important for the transportation industry to extend the service life of aging bridges. Structural failure of a bridge may be a combination of poor design, construction, maintenance, failure to inspect fracture critical and fatigue prone details thoroughly, severe weather conditions, and/or a combination of all these factors. To establish optimum inspection/repair planning for a structure, the structure’s performance under uncertainty should be assessed and predicted using probabilistic concepts and methods. Current bridge management systems use deterministic, Markov chain, or the semi-Markov process to predict a structure’s future performance and service life. Many states have successfully developed deterioration models for their inventory. The semi-Markov process can be used in load rating based bridge deterioration modelling for bridge asset management. Development and demo-illustration of a risk assessment based decision support for optimizing asset management, forecasting the consequences of delayed rehabilitation and prioritizing the required investments. Proposed modeling of the vulnerability of the system at a certain age of its lifecycle and forecasting its degradation.  BAM provide valuable aid for the bridge owner decision makers in forecasting the degradation rate of bridge  system and making preemptive decisions for rehabilitation investment prioritization.

The Main highlights of this presentation is

  • What is Bridge Asset Management (BAM)?
  • What is data driven analysis of BAM?
  • Current Procedure for Structural Evaluation and Rating of Bridges
  • Prior Work in Degradation Modeling
  • Research gap in BAM.
  • What Modeling tool is/will be used for BAM?
  • Research objective/Problem statement
  • Research methodology (Includes hypothesis)
  • Research expectation
  • Future Research

Instructor:

Avinash Prasad, PE, LS, F.ASCE, FF, EMTPrassad

Mr. Avinash Prasad is a Licensed Professional Engineer and Land Surveyor with more than 25 years of civil engineering and project management experience. As a registered professional engineer and land surveyor (NJ, NY, CT, MA, RI), he specializes in bridge asset management and structural evaluation of bridges, particularly suspension bridges. He is currently researching bridge asset management for his doctoral dissertation at New York University.  He has received dual MS degrees in Civil Engineering and Engineering Management from NJIT and a BS degree in Civil Engineering from India. He has more than 1000 hours of continuing professional education as instructor/participating professional. He is a NJ state certified emergency medical technician (EMT), emergency medical responder (EMR), and firefighter (FF). He is also a certified CPR, AED administer. He is a fellow of American Society of Civil Engineers and an active member of several professional organizations such as: AREMA, PMI, AISC, NYSAPLS, IPWE, IRT and IIBE. The ASCE, Railway Age and Railway Track & Structure conference proceedings has accepted many of his technical papers for presentation and/or publication.

Dates:

LIVE WEBINAR: Sunday, June 6, 2021 8:00am-12:00pm