BRIDGE ASSET MANAGEMENT-PART-1 and Part-2 : LIVE WEBINAR

BRIDGE ASSET MANAGEMENT-PART-1 and Part-2 : LIVE WEBINAR

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This program is a 

*LIVE INTERACTIVE webinar: you will need an i-phone, i-pad, lap top, or desk top to view it.  You do not need a microphone or webcam.

Webinar links are emailed one day prior to the class date.

All our programs are APPROVED FOR PDU’s 

We do not charge a registration fee only Tuition

Attend One Topic Or BOTH for a Discounted Tuition on the same day :  8 PDU’s for the Full Day

Date: Sunday February 20, 2022

We are approved provider by:

NJ Board of Professional Engineers and Land Surveyors
New York Board of Professional Engineers , Sponsor # 201  beginning 2/1/2018 to 1/31/2024
Florida Board of Professional Engineers: Laws and Rules and Ethics, Provider number 007543 (Ethics) 0010489
Florida Board of Professional Engineers: CE provider Provider number 0007543
Maryland Board for Professional Engineers

Morning Lecture: 

BRIDGE ASSET MANAGEMENT-PART-1:   Time 8am to 12pm    4 PDU

Significant research has been conducted on the practice of Bridge Asset Management (BAM).  While bridge site inspections yield observations on current conditions, their usefulness in bridge asset management strategy requires a sound historical and statistical basis. Therefore, the present practice of bridge site inspection can only support a reactive mode in bridge asset life cycle management and is raising a critical need for a risk analysis methodology that will effectively support decision-making in a forecasting mode.  This research addresses that challenge by employing a series of relatively simple, well-established statistical techniques as a precursor to a forecasting methodology.  The limitations of the current practice of bridge condition rating are reactive in nature. Reactive approaches do not provide analytical tools for forecasting the aging effect on the time dependent bridge infrastructure deterioration for the prioritization of BAM. The development of statistical data analysis can be done by using the aging effect on the corrosion rate as a health monitoring parameter of the girder. The results of this research provide bridge asset managers a statistical data driven analysis approach to the time dependent aging effect as a decision support tool for preemptive prioritization and a pre-specified vulnerability level in BAM planning. There are multiple primary member degradation indicators e.g. corrosion, section loss, cracks, etc. This research analyzes the corrosion rate of primary members. It illustrates the application of statistical data analysis for the development and application of RAM for forecasting the effect of aging on the corrosion rate, as a structural degradation indicator for the preemptive planning of a BAM strategy.

 

Afternoon Lecture: BRIDGE ASSET MANAGEMENT-PART-2 Time: 12:30pm to 4:30pm   4 PDU

Current bridge asset management (BAM) is based on site inspection condition rating methodology. Mitigation measures are adapted to asset condition assessment results. This reactive approach does not provide analytical tools for forecasting the aging effect on the time dependent bridge infrastructure deterioration for prioritization of bridge asset management. The present practice of bridge site inspection can only support a reactive mode in bridge asset life cycle management raising a critical need for a risk analysis methodology that will effectively support decision-making in a forecasting mode. This presentation presents a risk assessment method (RAM) based upon statistical data analysis of the aging effect on corrosion anomaly rate (CAR), which is developed in order to provide the bridge asset manager with an analytical tool for risk-based BAM optimization.  The main objectives of this presentation are to: i) present a risk rating methodology for preemptive Bridge Asset Management (BAM), ii) Compare the Risk Rating (RR) and the Condition Rating (CR) and iii) provide an analytical tool for bridge life cycle determination for different vulnerability levels and forecasting the financial risk of delayed rehabilitation. The presentation illustrates the Risk Assessment Method (RAM) application for forecasting the aging effect on the corrosion rate, as a structural degradation indicator for a preemptive BAM planning. It presents the methodology for Corrosion Risk Rating (CRR) of the bridge at any age for a pre-specified vulnerability level, and discusses the correlation with Primary Member Condition Rating (CR). It also introduces the concept of degradation rate into a bridge asset management framework, consisting of the development of: i) an analytical approach for estimating the useful service life expectancy of an aging bridge system, based upon statistical data analysis of the corrosion rate; ii) a degradation rate model; and iii) forecasting simulations of the of deferred repair/rehabilitation cost along with associated financial risk.

Instructor:

Mr. Avinash Prasad is a Licensed Professional Engineer, Land Surveyor with more than three decades of professional experience in civil engineering, surveying & management field since his graduation. He has recently earned Doctor of Philosophy degree from New York University in Civil Engineering. He has double Master of Science Degrees in Civil Engineering and Engineering Management from New Jersey institute of technology, NJ and BS Degree in Civil Engineering. He has more than 2000 hours of continuous professional education as instructor/participating professional (1990-2021) excluding formal education. He is a (NJ) state certified emergency medical technician (EMT), emergency medical responder (EMR), fire fighter (FF). He is a FELLOW of American Society of Civil Engineers and also an active member of several professional organizations such as: AREMA, PMI, AISC, NYSAPLS etc. His technical papers were accepted in multiple ASCE journals and various other organizations like ASCE, AREMA & NYSAPLS conference proceedings for presentation and or publication multiple times.

Date:

Live Webinar: Sun. Feb. 20, 2022 Time: 8am to 12pm /AM Session Only, Live Webinar: Sun. Feb. 20, 2022Time: 12P30 to 4:30 /PM SESSION ONLY, Live Webinar: Sun. Feb. 20, 2022 FULL DAY 8am to 4:30pm