Overlay Structure Research Articles

Leveraging P2P Architecture and Semantic Web for Enhanced Resource Discovery

Web 4.0, also known as the next generation, intelligent internet, possesses the potential to become a widely and universally used communication medium for various types of information. However, its decentralized architecture lacks strong semantic support, resulting in an internet that is disorganized. The current system lacks the capacity to facilitate users' effective information discovery, extraction, and integration from multiple sources. Additionally, it fails to give consumers efficient tools for manipulating and turning acquired data into knowledge that is useful. Peer-to-peer (P2P) overlay technologies have recently come to light as a way to improve resource discovery on the internet. In dynamic and large-scale situations, these technologies provide a scalable framework for allocating, sharing, and gaining access to resources. The purpose of this research is to discuss on semantically enabled web architecture that makes use of P2P overlay technology. This architecture aims to facilitate structured and precise access to internet resources and promote knowledge sharing among community members who share similar interests. The paper examines the core elements of the semantic web architecture, which encompass the services and protocols responsible for resource advertising, discovery, and management, methods and material. It then delve into the hybrid peer-to-peer (P2P) overlay structure, specifically focusing on indexing and resource location, and explores the mechanisms necessary to facilitate scalable routing within a distributed environment.

An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure

In this paper, we provide a novel failure-resilient token-based mutual exclusion (ME) algorithm for distributed systems. Like a few other solutions in the literature, the proposed solution leverages a logical tree as its underlying topology. However, unlike any other solution, the tree is built using a probabilistic, fully distributed approach, without exchanging messages. The current tree-based ME algorithms often overlook considerations for node/link failures or offer costly methods for failure recovery. The proposed algorithm overcomes these limitations by providing an effective solution to maintain a logarithmic cost in case of node failures. The overlay structure – a unique logical tree – used to control access to the critical section maintains its consistency even when nodes fail. An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. For instance, for 4,096 nodes organized in a logical tree of arity 4 and with 4 physical nodes for logical node, a negligible number of nodes is disconnected from the tree after 250 epochs when the per-node per-epoch failure probability is pf≤0.0008. With a pf=0.0016, less than 10% of the nodes are disconnected. The proposed algorithm avoids node disconnection while minimally impacting the load of the logical tree nodes. In addition, for the same architecture, when both tree arity and cardinality are 4, after 250 epochs, the node load has demonstrated minimal variation and remains in close proximity to the original load. Moreover, experimental results also reveal a graceful degradation of algorithm performance. The fully distributed solution, rich parametrization for different trade-offs, and viability and resilience of the proposed algorithm also pave the way for future research.

A Scalable Many-core Overlay Architecture on an HBM2-enabled Multi-Die FPGA

The overlay architecture enables to raise the abstraction level of hardware design and enhances hardware-accelerated applications’ portability. In FPGAs, there is a growing awareness of the overlay structure as typified by many-core architecture. It works in theory; however, it is difficult in practice, because it is beset with serious design issues. For example, the size of FPGAs is bigger than before. It is exacerbating the issue of the place-and-route. Besides, a single FPGA is actually the sum of small-to-middle FPGAs by advancing packaging technology like silicon interposers. Thus, the tightly coupled many-core designs will face this covert issue that the wires among the regions are extremely restricted. This article proposes efficient essential processing elements, micro-architecture design, and the interconnect architecture toward a scalable many-core overlay design. In particular, our work proposes a novel compact buffering technique to reduce memory resource utilization in tightly connected overlays while preserving computational efficiency. This technique reduces the utilization of BlockRAM to nearly 50% while achieving a best-case computational efficiency of 91.93% in a three-dimensional Jacobi benchmark. Besides, the proposed enhancements led to around 2× and 3× improvement in performance and power efficiency, respectively. Moreover, the improved scalability allowed increasing compute resources and delivering around 4× better performance and power efficiency, as compared to the baseline Dynamically Re-programmable Architecture of Gather-scatter Overlay Nodes overlay.

Structural optimization study based on crushing of semi-rigid base

<abstract> <p>Semi-rigid base materials are used in all pavement grades and are shown to have excellent stability. Furthermore, semi-rigid bases are known for their stiffness and strong frost resistance. However, these semi-rigid base materials are starting to require significant levels of maintenance and repair due to wear and tear. Maintenance is performed primarily to add pavement and resurfacing material, with the hope that the resurfacing layer can withstand large tensile and shear forces at the cracks of the base, thus increasing the overall durability of the pavement. Furthermore, crushing technology used for cement panel maintenance can be used to eliminate cracks in the overlay layer thus improving overall service life expectancy. The studies below study the application of crushing technology to a semi-rigid base and the subsequent alternation to the structural design of the pavement. Furthermore, the mechanical index sensitivities of pavement structures post-rubblization were analyzed using finite elements. Mechanical indexes with high sensitivity were subsequently adopted as structural damage control indexes. These indexes were used to optimize overlay structure and provide a reference for structural design post-rubblization.</p> </abstract>

Experimental and numerical study on improving mechanical properties of new polyurethane-emery thin polymer overlay (TPO) structure using three-point bending test

The thin polymer overlay (TPO) is a new type of road surface treatment layer for high traffic pressure and high road performance requirements. Therefore, it is not only widely used on highways but also has more and more applications in the field of bridge deck pavement. In this work, a new type of TPO—the polyurethane-emery TPO composite material was proposed, and a reasonable material mixing ratio is determined. In addition, the flexural and compressive behaviors of the polyurethane-emery TPO reinforced with the steel fiber and cement materials are investigated, and a comparison is made for the development of a numerical model to simulate the behavior of the reinforced-new-TPO using the Finite Element (FE). The experimental tests include three-point bending and compressive tests to evaluate the ultimate capacity of the new-TPO material in flexural and compression and its modulus of elasticity. Moreover, the flexural and compression performance of polyurethane-emery TPO containing different reinforcement configurations was evaluated in three-point bending and compression tests, and the reinforcing effects of different steel fibers and cement contents were investigated. The use of steel fiber and cement-reinforced thin polymer overlay in reinforced bridge surface treatment construction was found to be able to significantly offer several advantages, such as excellent corrosion resistance, and flexural and compression strength. Through experimentation, it can be seen that the new type of polyurethane-emery TPO proposed in this paper can completely replace the existing TPO, however, the effect of the dosage of steel fiber and cement needs to be considered during the design. Meanwhile, a three-dimensional nonlinear finite element model was established by using ABAQUS, which incorporated the second development model of steel fiber based on python and CDP models and can be used to predict the flexural and compression behaviors. The numerical model was experimentally validated by using the three-point bending and compression test results and was used for parametric studies. The parameters investigated in this study were steel fiber content, fiber length, and polyurethane-cement ratio of the polyurethane-emery TPO reinforcement. The proposed new polyurethane-emery TPO system was revealed to be promising for the development of the bridge surface treatment reinforcement formwork and can be used in superstructure construction for the extension of the bridge service life. The numerical and the experimental results were generally in good agreement.

Design and Application of Collaborative Experiment Management Platform for Innovation and Entrepreneurship Education Based on an Intelligent Sensor Network

Innovation and entrepreneurship is the soul of entrepreneurship, and realizing the integration of innovation and entrepreneurship education and collaborative experiment platform in colleges and universities is an important way to promote the development of entrepreneurship and facilitate higher quality employment. In this paper, the authors propose the 3D-IVF intelligent sensor overlay algorithm wisdom laboratory system structure and application mode through in-depth investigation of collaborative laboratory, build the macroenvironment and construction demand of collaborative experiment management platform of innovation and entrepreneurship education, comprehensively analyze the current situation, problems, and effectiveness of its integration of innovation and entrepreneurship education and professional education. In addition, we explore the operation mechanism of its organizational system, curriculum system, management system, and platform construction in the practice of integrating innovation and entrepreneurship education with professional education. The average coverage rate of the 3D-IVF-based 3D coverage algorithm is 92.15%, and the deployment time is 2.5857 s; the average coverage rate is improved by 0.76%, and the deployment time is reduced by 0.1712 s. Design FIR filter using MATLAB and Hilbert transform filter, generate HDL code, and implement it on FPGA. Use the designed low-pass and band-pass filters to filter the 100 KHz square wave signal sampled by the ADC. When the number of iterations of the algorithm reaches 30, the coverage rates of the four-node deployment strategies will stabilize, i.e., the forces between the nodes of the 3D-VF-based 3D coverage algorithm of this paper. The equilibrium state is reached. We use resources and real-time experimental data sharing to realize collaborative design among team members, further optimize the curriculum structure of innovation and entrepreneurship education, adopt diversified forms of curriculum implementation, and implement a diversified curriculum evaluation system, etc.

Quick Block Transport System for Scalable Hyperledger Fabric Blockchain Over D2D-Assisted 5G Networks

This paper presents a quick block transport system for scalable Hyperledger Fabric (HLF) blockchain over device-to-device (D2D)-assisted 5G networks. The objective of the proposed system is to increase the transaction throughput and further enable the application of the blockchain to delay-sensitive 5G services. To this end, the system rapidly disseminates the block data to all the peers on the blockchain network. The blockchain network is organized with mobile edge cloud (MEC) server and mobile peers in the 5G network. To ensure a scalable and reliable blockchain architecture, the core functionalities of the HLF blockchain are appropriately distributed among the mobile edge cloud and each mobile peer. The MEC server handles core functionalities for the blockchain network, such as block generation and membership management. In addition, it is responsible for gathering the network status of all peers and organizing the overlay structure to be utilized to rapidly propagate the block with a low network cost. On the other hand, the mobile peers handle the endorsing and validating functionalities to prevent block data tampering in the blockchain network. Furthermore, locality-aware device-to-device networking is utilized in 5G network coverage to achieve faster block dissemination. The proposed system is designed to work seamlessly in an existing HLF blockchain framework with consideration of scalability and compatibility. It is fully implemented using the open-source HLF and OpenAirInterface. To verify the effectiveness of the proposed block transport system, it was evaluated in an actual 5G network as well as 802.11 network. The experimental results verified its feasibility.

The Optimization Strategies on Clarification of the Misconceptions of Big Data Processing in Dynamic and Opportunistic Environments

This paper identifies four common misconceptions about the scalability of volunteer computing on big data problems. The misconceptions are then clarified by analyzing the relationship between scalability and the impact factors including the problem size of big data, the heterogeneity and dynamics of volunteers, and the overlay structure. This paper proposes optimization strategies to find the optimal overlay for the given big data problem. This paper forms multiple overlays to optimize the performance of individual steps in terms of MapReduce paradigm. The optimization is to achieve the maximum overall performance by using a minimum number of volunteers, not overusing resources. This paper has demonstrated that the simulations on the concerned factors can fast find the optimization points. This paper concludes that always welcoming more volunteers is an overuse of available resources because they do not always bring benefit to the overall performance. Finding optimal use of volunteers are possible for the given big data problems even on the dynamics and opportunism of volunteers.

Laser textured superhydrophobic overlay cavity structure as an acoustic metasurface with enhanced underwater sound insulation performance

Underwater acoustic metasurface is rising in recent years for its capability of low-frequency acoustic blocking and isolating underwater acoustic signals. Inspired by the superhydrophobic systems in nature, a laser textured superhydrophobic cavity structure acoustic metasurface is proposed for enhancing the underwater sound insulation performance. Two laser texturing prepared overlay and substrate aluminum alloy plates are seamlessly bonded together to form the laser textured overlay cavity structured acoustic surface (LTOCS). The acoustic characteristics testing results showed excellent sound insulation effect of the LTOCS in the designed response frequency range (50–60 kHz). The underwater sound transmission coefficient is reduced by up to 81%. This study provides a technical scheme for effective control of underwater low-frequency acoustic waves which can be used to suppress underwater noise propagation, acoustic stealth, underwater detection, etc.

Towards software defined low maintenance structured peer-to-peer overlays

Structured Peer-to-Peer (P2P) overlay networks are scalable and efficient networks. This efficiency comes at a cost as there is a need for regular maintenance of an overlay structure to handle the continuous churn of peers. This results in huge overhead in terms of maintenance traffic generated by peers. This problem becomes more critical when logical overlay topology differs from actual physical network topology, a common phenomenon in P2P overlay networks. In this paper, we present a novel approach to designing a Distributed Hash Table (DHT) based P2P overlays with the help of Software Defined Networks (SDN) concepts. SDN is an upcoming technology that provides enough flexibility in deciding application-specific network policies and rules dynamically. In our approach, we have attempted to bring the overlay topology closer to actual physical topology and reduce the maintenance traffic as much as possible. We have also tested our work on a hybrid network consisting of both virtual and physical switches. The experimental results suggest and establish the applicability of our approach.

Spartan: Sparse Robust Addressable Networks

A Peer-to-Peer (P2P) network is a dynamic collection of nodes that connect with each other via virtual overlay links built upon an underlying network (usually, the Internet). P2P networks are highly dynamic and can experience very heavy churn, i.e., a large number of nodes join/leave the network continuously. Thus, building and maintaining a stable overlay network is an important problem that has been studied extensively for two decades.In this paper, we present our P2P overlay network called Sparse Robust Addressable Network (Spartan). Spartan can be quickly and efficiently built in a fully distributed fashion within O(logn) rounds. Furthermore, the Spartan overlay structure can be maintained, again, in a fully distributed manner despite adversarially controlled churn (i.e., nodes joining and leaving) and significant variation in the number of nodes. Moreover, new nodes can join a committee within O(1) rounds and leaving nodes can leave without any notice.The number of nodes in the network lies in [n,fn] for any fixed f≥1. Up to ϵn nodes (for some small but fixed ϵ>0) can be adversarially added/deleted within any period of P rounds for some P∈O(loglogn). Despite such uncertainty in the network, Spartan maintains Θ(n∕logn) committees that are stable and addressable collections of Θ(logn) nodes each for polynomial(n) rounds with high probability.Spartan’s committees are also capable of performing sustained computation and passing messages between each other. Thus, any protocol designed for static networks can be simulated on Spartan with minimal overhead. This makes Spartan an ideal platform for developing applications. We experimentally show that Spartan will remain robust as long as each committee, on average, contains 24 nodes for networks of size up to 10240.

Bioactive constituents from Thunbergia erecta as potential anticholinesterase and anti-ageing agents: Experimental and in silico studies

Acetylcholinesterase (AChE) inhibitor and telomerase reverse transcriptase (TERT) potentiator phytochemicals are highly targeted as anti-Alzheimerꞌs disease and as an anti-ageing process. A phytochemical study of Thunbergia erecta aerial parts resulted in the isolation of ten compounds (1–10). Their structures were identified based on spectral data and comparison with literature values. The activity of our pure isolates on AChE and TERT enzymes by documented in vitro assay methods were evaluated. The results indicated that apigenin (2), vanillic acid (4), and acacetin-7-O-β-D-glucoside (7) exhibited potent inhibition of AChE (IC50 37.33, 30.80 and 49.57 ng/mL, respectively), compared to the standard drug donepezil (IC50 31.25 ng/mL). In the TERT enzyme assay, compound 7 triggered a 1.66‑fold increase in telomerase activity at the concentration of 2.85 ng/ml. This is the first study that demonstrates that compound 7 isolated from T. erecta can lead to such telomerase activity relative to control cells. Virtual screening studies including docking, rapid overlay chemical structure (ROCS), and calculated structure–property relationships (SPR) were implemented in this work. Molecular docking studies supported the binding of compounds 2, 4, and 7 through hydrogen bonds (HBs) formation to essential amino acid residues namely ARG:24 A, SER:347 A, LYS:51 A, PHE:346 A, and GLY:345 A of acetylcholinesterase. ROCS and SPR analyses realized compound 2 as a possible treatment of Alzheimer's disease and as a lead compound for drug development process through applying semisynthetic modifications.

From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data

This paper presents a processing model for big IoT data. The model includes a continuous delivery scheme based on building blocks for constructing software pipelines from the edge to the cloud. It also includes a data preparation scheme based on parallel patterns for establishing, in an efficient manner, controls over the production and consumption of IoT data. This scheme adds data properties such as cost-efficiency storage, security, and reliability, which are useful to avoid alterations in data and repudiation situations as well as to mitigate risks still arisen in the cloud such as confidentiality violations and service outages. An overlay structure, including planes such as pub/sub, control, and preservation, integrates the proposed schemes into software pipelines. The proposed model was developed in both prototype and simulator of software pipelines. Case studies were conducted based on pipeline services deployed from the edge, passing from the fog to the cloud for processing and managing real climate data repositories, which were produced by three different data sensor sources, such as ground stations deployed on Mexico and Spain, as well as small distributed IoT devices. Information sharing patterns for end-users to retrieve raw and/or processed IoT data were also studied. The experimental evaluation revealed the feasibility of using continuous delivery scheme to create dataflows from the edge to the cloud, the efficacy of the overlay structure to create information sharing patterns, as well as the efficiency of data preparation schemes and parallel patterns to improve the end-user service experience in comparison with traditional state-of-the-art solutions.

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

The growth of Internet of Things (IoT) devices with multiple radio interfaces has resulted in a number of urban-scale deployments of IoT multinetworks, where heterogeneous wireless communication solutions coexist (e.g., WiFi, Bluetooth, Cellular). Managing the multinetworks for seamless IoT access and handover, especially in mobile environments, is a key challenge. Software-defined networking (SDN) is emerging as a promising paradigm for quick and easy configuration of network devices, but its application in urban-scale multinetworks requiring heterogeneous and frequent IoT access is not well studied. In this paper we present UbiFlow, the first software-defined IoT system for combined ubiquitous flow control and mobility management in urban heterogeneous networks. UbiFlow adopts multiple controllers to divide urban-scale SDN into different geographic partitions (assigning one controller per partition) and achieve distributed control of IoT flows. A distributed hashing based overlay structure is proposed to maintain network scalability and consistency. Based on this UbiFlow overlay structure, the relevant issues pertaining to mobility management such as scalable control, fault tolerance, and load balancing have been carefully examined and studied. The UbiFlow controller differentiates flow scheduling based on per-device requirements and whole-partition capabilities. Therefore, it can present a network status view and optimized selection of access points in multinetworks to satisfy IoT flow requests, while guaranteeing network performance for each partition. Simulation and realistic testbed experiments confirm that UbiFlow can successfully achieve scalable mobility management and robust flow scheduling in IoT multinetworks; e.g., 67.21 percent throughput improvement, 72.99 percent reduced delay, and 69.59 percent jitter improvements, compared with alternative SDN systems.

Rock, Paper, Scissors Game Based Model for Content Discovery in P2P MANETs

Resource discovery is a key challenge in dynamic environment such as Peer-to-Peer (P2P) MANETs. To leverage the lookup costs and efficiently discover the resources, the peers in a P2P network communicate with each other forming one-or-more overlay structure. And, thus the peer’s connections in such overlay networks plays a crucial role. To harness this, we propose a model that focuses on the underlying network topology as each virtual link of the overlay network is supported by a path in the underlying physical network. Also, we design a new resource discovery algorithm that uses the famous Rock-Paper-Scissors (RPS) game ideology. In this work, we present a Rock-Paper-Scissors-Game-Based (RPSGB) algorithm for content discovery in mobile peer-to-peer network. The proposed work focuses on providing efficient resource discovery scheme in such a dynamic network, using the game theory concepts. Our scheme is a light-weight model aimed to suit the unstructured architecture better. The major goal of this work, is to reduce the consumption of power, minimize the lookup cost, lower the bandwidth consumption, and increase the hit ratio. We compare our scheme with the traditional well-known benchmarked schemes. After evaluation, the simulation results justify the effectiveness of the proposed protocol. The obtained results show that the proposed scheme substantially decreases the network traffic, lowers the battery power and bandwidth consumption, while having good search efficiency. Also, the search latency is minimized. The result justifies that RPSGB algorithm proposes to make resource searching much more efficient, and improves the statistics against the posed challenges.

Reusing Static Analysis across Different Domain-Specific Languages using Reference Attribute Grammars

Context: Domain-specific languages (DSLs) enable domain experts to specify tasks and problems themselves, while enabling static analysis to elucidate issues in the modelled domain early. Although language workbenches have simplified the design of DSLs and extensions to general purpose languages, static analyses must still be implemented manually. Inquiry: Moreover, static analyses, e.g., complexity metrics, dependency analysis, and declaration-use analysis, are usually domain-dependent and cannot be easily reused. Therefore, transferring existing static analyses to another DSL incurs a huge implementation overhead. However, this overhead is not always intrinsically necessary: in many cases, while the concepts of the DSL on which a static analysis is performed are domain-specific, the underlying algorithm employed in the analysis is actually domain-independent and thus can be reused in principle, depending on how it is specified. While current approaches either implement static analyses internally or with an external Visitor, the implementation is tied to the language's grammar and cannot be reused easily. Thus far, a commonly used approach that achieves reusable static analysis relies on the transformation into an intermediate representation upon which the analysis is performed. This, however, entails a considerable additional implementation effort. Approach: To remedy this, it has been proposed to map the necessary domain-specific concepts to the algorithm's domain-independent data structures, yet without a practical implementation and the demonstration of reuse. Thus, to make static analysis reusable again, we employ relational Reference Attribute Grammars (RAGs) by creating such a mapping to a domain-independent overlay structure using higher-order attributes. Knowledge: We describe how static analysis can be specified on analysis-specific data structures, how relational RAGs can help with the specification, and how a mapping from the domain-specific language can be performed. Furthermore, we demonstrate how a static analysis for a DSL can be externalized and reused in another general purpose language. Grounding: The approach was evaluated using the RAG system JastAdd. To illustrate reusability, we implemented two analyses with two addressed languages each: a cycle detection analysis used in a small state machine DSL and for detecting circular dependencies in Java types and packages, and an analysis of variable shadowing, applied to both Java and the Modelica modelling language. Thereby, we demonstrate the reuse of two analysis algorithms in three completely different domains. Additionally, we use the cycle detection analysis to evaluate the efficiency by comparing our external analysis to an internal reference implementation analysing all Java programs in the Qualitas Corpus and thereby are able to show that an externalized analysis incurs only minimal overhead. Importance: We make static analysis reusable, again, showing the practicality and efficiency of externalizing static analysis for both DSLs and general purpose languages using relational RAGs.

Evaluation and analysis of flexible pavement overlay thickness using asphalt modified SIR 20 on Dawuan – Cikampek Road using AASHTO 1993 method

Flexible pavement structural evaluation using AASHTO 1993 method is carried out based on deflection values from the survey using the Falling Weight Deflectometer (FWD) which will be used to calculate the Effective Structural Number (SNeff), Structural Number in Future (SNf) and overlay thickness. Flexible pavement is susceptible to rutting damage and permanent deformation. To increase rutting damage and permanent deformation resistance, Asphalt Concrete Wearing Course (ACWC) was being modified by adding SIR 20 material. In determining overlay thickness using AASHTO 1993 method, one of the factors influencing the thickness was properties of ACWC material. In this paper, a case study is carried out on the Raya Dawuan – Cikampek Road. The result of this case study were ACWC-Modified overlay thickness was thinner than ACWC-Normal. ACWC Modified pavement overlay structure thickness obtained at 80 mm meanwhile in ACWC-Normal was 100 mm.

Tunneling devices based on graphene/black phosphorus van der Waals heterostructures

Vertically stacked devices of two-dimensional layered materials (2DLMs) based on van der Waals heterostructures (vdWHs) have recently attracted considerable attention due to their good properties. A tunneling structure is presented in this paper that, unlike other tunneling structures, has no specific insulating two-dimensional materials, such as boron nitride. The tunneling structure is comprised of graphene and black phosphorus. Black phosphorus is chemically active, and can be easily oxidized in the air to form an insulating layer. A tunneling device was produced based on this characteristic of black phosphorus. The insulation layer was an oxide layer formed by the oxidation of black phosphorus. The structure takes advantage of the easy oxidation ability of black phosphorus. The presence of a black phosphorus oxide layer was determined by XPS analysis. The tunneling characteristics of the overlay structure were determined by measuring the current-voltage (Id-V) curve of the device. Simulation studies showed that the oxidation layer was responsible for the tunneling effect. Compared with other black phosphorus devices, the photoelectric properties of the proposed device were greatly improved.

Study on SBS/rubber composite modified asphalt ultra-thin wear layer

In this paper, the mix ratio of SBS/waste rubber powder composite modified asphalt was designed. The dosage of rubber powder (60 mesh) was determined to be 15%, and SBS modifier (linear) was 2%. Based on the optimum mix ratio of asphalt mixture, the road performance of composite modified asphalt was tested and the composite modified ultra-thin wear layer was designed. The noise reduction characteristics of the overlay structure were studied by using the impedance tube instrument, it is found that the composite modified rubber asphalt ultra-thin overlay structure has advantages in reducing the intermediate-frequency and high-frequency noise.

Research on Interlayer Bonding Treatment Technology of Ultra-Thin Whitetopping Material

Ultra-Thin Whitetopping has been studied and applied abroad as an emerging asphalt pavement overlay and pavement surface layer structure. UTW has the advantages of economy, durability and energy saving, and has broad prospects in urban road asphalt pavement maintenance, rural road surface, airport road surface and so on. For the UTW structure, the bonding condition between the board and the base layer has an important influence on the performance and life of the UW structure. The destruction of the interface between the layers is one of the important reasons for UTW damage. In this paper, the self-developed test piece forming mold was used to carry out the overlap test and the split test of the test piece to carry out the UTW interlayer adhesion performance test. The best interlaminar material and interlaminar treatment is obtained by drilling and engraving the interlayer polymer paste.