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Compounding effects of urbanization, climate change and sea-level rise on monetary projections of flood damage

Srinivas, Rallapalli (Elsevier, 2023-05)

Climate change and urbanization play critical roles in compounding future flood risk due to their adverse impacts on the rainfall regime and sea level rise. Although past studies have predicted the spatiotemporal variations ...

Influence of Environmental Conditions on the Performance of Bituminous Mixtures

Bhargava, Nishant (ASME, 2018-05)

Aging and moisture damage are considered as major environmental factors which affect the performance of bituminous mixtures. This study investigated the effect of aging and moisture invasion on the performance of bituminous ...

Synergistic influence of aging and moisture on performance of warm mix asphalt

Bhargava, Nishant (IJPRT, 2018)

In this study, the influence of aging and moisture on the two different mechanical behaviors of warm mix asphalt was studied. The cracking and permanent deformation resistance were assessed in terms of tensile strength and ...

Laboratory Investigation on the Effect of Emulsion Type and Additive on Microsurfacing Mix

Bhargava, Nishant (ASME, 2019-10)

In this article, the effect of emulsion type and additive on the performance of microsurfacing mix is evaluated both for initial mix characteristics and long-term performance. Three mix formulations were used for microsurfacing ...

Reliability of Microsurfacing Mix Subjected to Variation in Aggregate Gradation

Bhargava, Nishant (Sage, 2020-09)

Reliability analysis describes the probability of the pavement satisfying the performance criteria throughout its design life. Assigning reliability during the design stage is vital for the proper planning of maintenance ...

State of the art review on design and performance of microsurfacing

Bhargava, Nishant (Taylor & Francis, 2019-04)

Over the years, microsurfacing had gained popularity owing to the effectiveness, economic and environmental benefits as a pavement preventive maintenance treatment. The review study explores the merits and demerits of mix ...

Sustainable Development with Microsurfacing: A Review

Bhargava, Nishant (ASME, 2021-03)

In recent times, sustainable development has been the primary focus of research and development in the pavement industry. In this respect, microsurfacing was viewed as sustainable pavement preservation and has emerged as ...

Systematic approach to address challenges in microsurfacing mix design

Bhargava, Nishant (Elsevier, 2021-02)

This paper presents a systematic laboratory approach for microsurfacing mix design to address the challenges faced due to multiple components and associated chemical complexity. A comprehensive laboratory study was undertaken ...

Assessment of Asphalt Mixture Performance Subjected to Production and Paving Segregation

Bhargava, Nishant (ASCE, 2020-11)

In this study, the effect of aggregate segregation on the performance of hot mix asphalt was studied. The possible levels of aggregate segregation were arrived from the field core samples. Considering the level of segregation ...

Utilizing Photodetection Technique to Assess Moisture Damage of Asphalt Mixtures

Bhargava, Nishant (ASCE, 2021-08)

In this study, asphalt mixtures were subjected to the boiling water test, and the stripping potential was quantified in terms of loss index using the photodetection technique. Initially, the change in loss index due to ...

Relative Contribution of Process Control Parameters on the Raveling Resistance of Microsurfacing Mix

Bhargava, Nishant (Sage, 2021-09)

Raveling is one of the key performance parameters of microsurfacing treatment. During the material handling and mix production, process control parameters including aggregate gradation, emulsion content, and water content ...

Effect of Cement and Fly Ash Dosages on the Characteristics and Performance of Microsurfacing Mix

Bhargava, Nishant (ASCE, 2021-11)

In this study, the role of mineral fillers on the microsurfacing mix characteristics and performance was assessed for 10 different combinations of mineral filler type (cement and fly ash) and dosages (0%–3%). The mixes ...

Modeling the Factors Influencing the Rutting and Bleeding Characteristics of Microsurfacing Mix

Bhargava, Nishant (ASCE, 2022-01)

In this study, the effect of process control parameters, including aggregate gradation, emulsion content, and water content, on the rutting and bleeding characteristics of the microsurfacing mix was determined. A total of ...

Effect of Process Control Parameters on the Workability and Strength Characteristics of Microsurfacing Mix

Bhargava, Nishant (Sage, 2022)

This study investigates the effect of production process variation on the workability and strength evolution of microsurfacing mix. Overall, 35 different mixes were produced by varying aggregate gradation, emulsion content, ...

Influence of ageing and moisture conditions on the ravelling resistance of the micro-surfacing mix

Bhargava, Nishant (Taylor & Francis, 2024-07)

In this study, the durability of the micro-surfacing mix was assessed by investigating the synergistic effect of ageing and moisture conditioning on ravelling. A total of 30 combinations of conditioning protocols were ...

A Feasibility Study on the Potential Usage of Engineered Cementitious Composites in Indian Pavements

Lahoti, Mukund (Springer, 2022-09)

The global concrete consumption has been rising at over 2.8% per annum, reaching as high as 4.08 billion metric tons in FY-2021 alone. A significant chunk of this is being used in pavement construction to eventually reduce ...

A Universal Metric for Robust Evaluation of Synthetic Tabular Data

Lahoti, Mukund; Narang, Pratik (IEEE, 2024-01)

Synthetic tabular data generation becomes crucial when real data are limited, expensive to collect, or simply cannot be used due to privacy concerns. However, producing good quality synthetic data is challenging. Several ...

Concrete Compressive Strength Prediction Using Boosting Algorithms

Lahoti, Mukund; Muthukumar, G. (Springer, 2023-02)

This study proposes intelligent machine learning (ML)-based methods for concrete compressive strength prediction by utilizing a publicly available dataset. The methods employed are the XGBoost, CatBoost and TabNet algorithms. ...

Tailoring Properties of Electric Arc Furnace Slag Based Geopolymer Through Fly Ash Incorporation

Lahoti, Mukund (Springer, 2023-02)

Geopolymers are novel binders and are sustainable alternatives for conventional Portland cement. Geopolymers have emerged as a phenomenon of exceptional interest for the construction industry due to their excellent mechanical ...

Effect of sodium hydroxide concentration on EAFS based alkali activated binder

Lahoti, Mukund (Elsevier, 2023-04)

The emission of greenhouse gases primarily CO2 during the production of cement is a substantial global threat. Along with this the disposal of industrial waste is also a key concern due to leachate. In order to lower the ...

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