Precision Assessment of the Florida Texture Meter in Hot Mix Asphalt

Baqersad, Mohamadtaqi; Mohammadafzali, Mojtaba; Choubane, Bouzid; Holzschuher, Charles; Hamedi, Amirmasoud; Ali, Hesham

doi:10.1061/jpeodx.0000029

Cited by 12 publications

(4 citation statements)

References 18 publications

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“…Based on the type of infrastructure, new technologies and devices is used to measure the deficiency in asphalt, power, and water infrastructures. It helps to understand environmental aspect and resiliency of the civil infrastructures [39].…”

Section: Data Collection and Case Studymentioning

confidence: 99%

Characterizing Infrastructure Resilience in Disasters Using Dynamic Network Analysis of Consumers’ Service Disruption Patterns

Nazarnia¹,

Sarmasti

2018

CivileJournal

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This study proposes a network analysis framework for characterizing infrastructure resilience in the aftermath of disasters through the use of consumers’ service disruption information. In the presented framework, the notion of “peers” is used to construct the network models of consumers experiencing service disruption in the aftermath of a disaster to understand the type and extent of infrastructure damages and specify disruption patterns. Data related to electricity disruption in Bhaktapur, Nepal, in the aftermath of the 2015 Gorkha Earthquake is used to construct the network models of consumers’ networks at different points in time in the aftermath of the disaster. The created models are then used in network analysis for examining the network topological characteristics (such as clustering) and specifying the attributes of service disruption. The contribution of this paper lie in: (i) the development and validation of a novel network from disruption information, (ii) identify the extent of infrastructure disruption, type of damage, and recoverability from changes in network topology over time.

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Section: Data Collection and Case Studymentioning

confidence: 99%

Characterizing Infrastructure Resilience in Disasters Using Dynamic Network Analysis of Consumers’ Service Disruption Patterns

Nazarnia¹,

Sarmasti

2018

CivileJournal

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“…To date, many FEM models have been successfully developed to correlate surface textures with pavement performances in terms of thermomechanical performance (Srirangam, Anupam, Scarpas, Kasbergen, & Kane, 2015), braking friction, and rolling resistance (Anupam et al., 2017; Peng et al., 2019; Srirangam, Anupam, Scarpas, & Kasbergen, 2015), tire–fluid–pavement interaction behavior (Ong & Fwa, 2010; Srirangam et al., 2014), hydroplaning behavior (Zhu et al., 2020), and stress distributions (S. Wei et al., 2021). Along with research advancements in texture‐related performance, powerful simulation methods have also stimulated the demand for large amounts of morphological data, in view of the complexity and stochasticity of road surfaces (Baqersad et al., 2018; El Gendy & Shalaby, 2007; El Gendy et al., 2011). With the development of optical equipment, high‐resolution 3D road surficial data have become accessible.…”

Section: Introductionmentioning

confidence: 99%

Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks

Pan

Ren

et al. 2023

Computer aided Civil Eng

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The high cost of collecting surficial textures has been the bottleneck problem for many decades. To bridge this gap, this study aims to propose a complete framework based on the generative adversarial networks (GANs) architecture for texture regeneration using limited texture data samples. Four variants of the GAN were compared to achieve the best regeneration performance. Prior to running GAN, specifically improved data augmentation and modified sigmoid normalization operations were dedicated to avoiding the loss of texture information and the non‐convergence problem. After running GAN, the estimation metrics were introduced and discussed separately to quantitatively evaluate the rationality and diversity of the regenerated textures. The results demonstrated that the use of improved data augmentation and normalization methods significantly enhanced the regeneration capability of GAN, and more importantly the skewed distribution of surficial heights which is not achievable by present texture regeneration methods was most effectively regenerated by deep regret analytic GAN with well generalization ability. Our study provides a promising choice to generate virtually realistic pavement surface textures.

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“…Asphalt pavements are subject to increased tensions due to increased traffic volume and truck traffic (higher tire pressure) which cause cracking, permanent deformation, and surface wear and reduce the asphalt skid resistance [1][2][3]. Rutting or permanent deformation is a main failure distress that affects asphalt pavement performance especially in areas with hot climate and heavy traffic load.…”

Section: Introductionmentioning

confidence: 99%

Investigating Effects of Nano/SBR Polymer on Rutting Performance of Binder and Asphalt Mixture

Ameri

Vamegh

Rooholamini

et al. 2018

Advances in Materials Science and Engineering

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Rutting is one of the most common distresses in flexible pavements and can affect vehicle controlling features. Although asphalt binder constitutes a small percentage of the asphalt mixture, its properties play a crucial role in pavement performance and its rutting resistance. One way of improving binder properties and rutting resistance is to use additives. In this research, nanoclay and SBR polymer have been simultaneously used to modify 60–70 penetration binder to study rutting resistance of binder and asphalt mixture. To this end, the storage stability, rotational viscosity, DSR, and RCR tests on binder and marshal stability were performed, and dynamic creep and wheel track tests on asphalt mix were performed to assess rutting performance. The test and statistical analysis results indicated that nanoclay has considerably positive impact on rutting and elastic deformation of neat and SBR-modified asphalt binder and mixture.

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Precision Assessment of the Florida Texture Meter in Hot Mix Asphalt

Cited by 12 publications

References 18 publications

Characterizing Infrastructure Resilience in Disasters Using Dynamic Network Analysis of Consumers’ Service Disruption Patterns

Characterizing Infrastructure Resilience in Disasters Using Dynamic Network Analysis of Consumers’ Service Disruption Patterns

Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks

Investigating Effects of Nano/SBR Polymer on Rutting Performance of Binder and Asphalt Mixture

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