Sustainable Highway Construction Practices

SPONSOR:  UNIVERSITY OF WASHINGTON

PI:  Amlan Mukherjee

Subrecipient will perform the following scope of work:  Assist in the literature review, write and conduct an online survey of industry, help plan and participate in an industry workshop, conduct industry interviews, and help write and review reports.

Specifically, this work involves:

Task 1: Literature Review. Assist in the literature review.
Task 2: Gather Information.
Task 3: Summarize/identify gaps. Review written summary by UW.
Task 4: Prepare draft outline. Review draft outline of proposed Guidebook.

Task 5: Prepare interim report. Assist in drafting and reviewing interim report.
Task 6: Identify research agenda. Write the first draft of the research.

Task 7: Prepare final Guidebook. Assist in drafting and reviewing Guidebook.

Task 8: Present results. Review presentation developed by UW.

Task 9: Implementation memo. Review memo drafted by UW.

Task 10: Final report and PPT. Assist in drafting and review final report and

PPT presentation.

 

Amlan Mukherjee
Amlan Mukherjee

 

 

 

A Workshop to Address Data Needs to Support Sustainable Decision-Making for Pavements

SPONSOR:  ENGINEERING AND SOFTWARE CONSULTANTS

PI:  Amlan Mukherjee

The objective of this this task order is to organize and conduct a workshop where a report shall be created. outlining good practices and suggested methods for developing and operating a centralized data source, providing convenient access to comprehensive. reliable. transparent, publicly available. and context sensitive LCI data to support a pavement LCA.

Task 1.3.1: Conduct a comprehensive literature review and online search of ongoing efforts related to the development and use of LCI data specifically and LCA in general, within US and internationally, for sustainable transportation infrastructure decision making.

Task 1.3.2: Provide support for holding a two-day workshop and developing the draft report from the workshop discussions.

Task 1.3.3: Develop a draft final report that presents various options identified in Tasks 1.3. i and l.3.2 with benefits and challenges for each. FHWA anticipates that the final report will undergo subsequent editing and layout should FHWA choose to publish the report.

Task 1.3.4: Present draft final report to one selected lead state or local agency.

Task 1.3.5: Finalize and submit the final report. The final report should be prepared as an MS Word file and may include graphics. as appropriate. that are used during the workshop. FHWA anticipates that the report will undergo subsequent editing and layout should FHWA choose to publish the report.

Amlan Mukherjee
Amlan Mukherjee

DRU Collaborative Research: Understanding Mental Models of Expertise in Construction Management using Interactive Adaptive Simulations

Sponsor: National Science Foundation

PI: Amlan Mukherjee

This research uses recent advances in simulations and data analysis techniques to investigate the cognitive and engineering aspects of decision making in complex dynamic construction management scenarios. Expertise plays a crucial role in managing crisis scenarios that call for critical decision making under constraints of time, resource, and rapidly unfolding events. An example of such a crisis scenario is managing complex heavy construction projects. In such scenarios, effective decision making requires knowledge of complex inter-relationships between several simultaneous events and preparing for the uncertainty and risks arising from feedbacks in time and space. Such knowledge is inductively constructed by assimilating and organizing experiential knowledge into patterns of information that are difficult to formalize or analytically perceive. The researchers propose to investigate the dynamics and variation of such cognitive knowledge organization patterns, or mental models, of decision making, specifically among construction managers.

The goal of this research effort will be to use an interdisciplinary approach to understand how expert and novice construction managers differ in their knowledge organization, information processing, risk assessment, and decision making in construction management crisis scenarios. Interactive, adaptive simulations of critical construction scenarios will be developed in collaboration with construction management firms, and expert and novice construction managers will be tested in them to capture human-subject interaction data that will be analyzed to develop mental models of expertise. In addition, an instructional interface will be integrated into the simulation using pedagogical agents, and it will be deployed in the construction management curriculum to test its effectiveness as a training environment for novice decision makers. This will also allow the researchers to investigate how novices construct knowledge in simulated training environments.

Amlan Mukherjee
Amlan Mukherjee

I-Corps: Decision Support Systems for Managers of Civil Infrastructure Systems

Sponsor: National Science Foundation

PI: Amlan Mukherjee

The proposed technology is a methodology to assess alternative infrastructure management strategies based on project cost, system performance and estimates of greenhouse emissions. The supporting methods include stochastic analysis, life cycle assessment and Monte Carlo simulation based approaches. The technology is designed to address the problems of reducing life cycle emissions of civil infrastructure systems, helping agencies provide a consistent level of service, while optimally using available resources for construction, maintenance and rehabilitation. This is particularly significant given the twin challenges of climate change, and ongoing shortfalls in state and federal budget appropriations for public works. Finally, the underlying theory and methods are mathematically sophisticated and data intensive, and not easy for decision-makers to implement without significant training. The proposed technology promises efficient implementation by providing an innovative product/service that is reliable and intuitive, and has a friendly and easy to use interface.

Civil infrastructure systems are critical to socioeconomic success. Services such as access to clean drinking water, efficient sewer and waste management, easy mobility and access to multiple modes of transportation provide the backbone for multiple supply chains, besides supporting a healthy standard of living. Challenges due to climate change, aging infrastructure, and the impact of the economic crisis on local and state budgets are hurting the efficient delivery of these services. By providing support to decision-makers the proposed technology is likely to have a significant impact on maintaining and managing infrastructure sustainably.

Amlan Mukherjee
Amlan Mukherjee

Carbon Footprint for HMA and PCC Pavements

Sponsor: Michigan Department of Transportation

PI: Amlan Mukherjee

Motivated by the need to address challenges of global climate change, this study develops and implements a project based life cycle framework that can be used to estimate the carbon footprint for typical construction work-items found in reconstruction, rehabilitation and Capital Preventive Maintenance (CPM) projects. The framework builds on existing life cycle assessment methods and inventories. The proposed framework considers the life cycle emissions of products and processes involved in the raw material acquisition and manufacturing phase, and the pavement construction phase. It also accounts for emissions due to vehicular use and maintenance operations during the service life of the pavements. The framework also develops and implements a method to calculate project level construction emission metrics. Finally, the research provides a web-based tool, the Project Emission Estimator (PE- 2) that can be used to benchmark the CO2 footprint of highway construction projects. In conclusion, the research suggests ways of implementing the proposed framework within MDOT to help reduce the CO2 footprint of highway construction projects.

Amlan Mukherjee
Amlan Mukherjee

Implementation of Unmanned Aerial Vehicles (UAVs) for Assessment of Transportation Infrastructure – Phase II

Sponsor:  Michigan Department of Transportation

PI:  Colin Brooks

Through Phase I of MDOT’s “Evaluating the Use of Unmanned Aerial Vehicles for Transportation Purposes” project, the Michigan Tech combined project team was successfully able to plan, demonstrate, and document UAV capabilities in the assessment of transportation assets.

With the rapid development of UAV’s, MDOT has requested additional research concerning their use for transportation asset management.  The work plan of the MTU combined team includes:

TASK 1:

  • Collect data from the UAV platform using sensing technology in near-time (as real-time as can be achieved) demonstrating, developing, and implementing storage capabilities of large amounts of data, usage of data, and application development that complements current data usage and application at MDOT.
  • Provide data collection from UAVs to the MDOT Data, Use, Analysis, and Process (DUAP) project that meets the quality, low latency delivery and data format requirements.
  • Provide a report that describes and recommends optional methods to store and distribute potentially large imaging, point cloud, and 3D surface datasets created through UAV-based data collection.

TASK 2:

  • Demonstrate, develop, and implement high-accuracy simultaneous thermal/photo/video/Light Detection and Ranging (LIDAR) measurement using a high-fidelity sensor-fused UAV positioning approach.

TASK 3:

  • Demonstrate the capabilities to complete aerial remote sensing data collections to meet MDOT mapping and construction monitoring needs.  Coordinate with MDOT Survey Support to identify pilot projects and meet data delivery needs satisfying MDOT requirements for spatial data collection as it pertains to data density, absolute and relative 3D positional accuracy.

TASK 4:

  • Demonstrate, develop and implement uses of data collection from UAV(s) and sensors for operations, maintenance, design, and asset management.

TASK 5:

  • Demonstrate, develop and implement enhanced testing of UAV-based thermal imaging for bridge deck structural integrity.
  • Compare data collected from UAV sensors to current data collected and systems used at MDOT for highway assets/operations.

TASK 6:

  • Demonstrate, develop, and implement systems management and operations uses.

TASK 7:

  • Provide a benefit/cost analysis and performance measures that define the return on investment as a result of deploying UAVs and related sensory technologies for transportation purposes.

TASK 8:

  • Secure a Federal Aviation Administration (FAA) Certificate of Authorization (COA) to complete the tasks and deliverables.
Colin N. Brooks
Colin N. Brooks
Tess Ahlborn
Tess Ahlborn
Timothy Havens
Timothy Havens
Thomas Oommen
Thomas Oommen
Kuilin Zhang
Kuilin Zhang

Exploring the Science of Sustainability: Robustness and Resilience of Coupled Infrastructure and Natural Networks

Sponsor:  Michigan Tech Transportation Institute (MTTI)

PI:  Amlan Mukherjee

The current approaches to studying sustainability uses a triple-bottom line approach that accounts for each of the economic, social and environmental impacts of such system separately without explicitly considering the overall performance of the system. At the same time, there has been a growing movement towards adoption of sustainability standards in transportation with the emergence of rating systems such as EnvisionTM that recognize system robustness and resilience as fundamental to achieving sustainability. As a result, municipal and agency managers, often are left without meaningful operational guidelines that support the prioritization of sustainability as a principle in their long-term planning without compromising on level of service. Hence, the significant problem motivating this research is that currently there are no methods to measure the sustainability of critical infrastructure (such as transportation networks) and natural systems, as a function of systemic robustness and resilience.

In a departure from the triple bottom line thinking, the objective of this research effort is to discover principles of sustainable management that increase the robustness and resilience of integrated systems, based on an acknowledgment of relationships, constraints and margins of tolerance that keep a system stable and viable. In doing so the research will investigate if the sustainability of a system can be formulated as a function of the systemic robustness and resilience.

 

Amlan Mukherjee
Amlan Mukherjee