Structural pavement assessment in Germany

Pinkofsky, Lutz; Jansen, Dirk

doi:10.1007/s11709-017-0412-z

Cited by 5 publications

(3 citation statements)

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“…The condition data can be surveyed using established image-and laser-based networkwide measurement methods, and then are assessed using an evaluation procedure. In addition, structural measurement systems, such as the traffic speed deflectometer (TSD) used to measure the bearing capacity of the pavement structure, have been developed in recent years for networkwide assessment of structural pavement condition (Pinkofsky and Jansen 2018). Complementary to this, related data on the layer structure can be determined indirectly using ground penetrating radar (GPR) (Solla et al 2021) or directly using boreholes.…”

Section: Introductionmentioning

confidence: 99%

BIM-Enabled Infrastructure Asset Management Using Information Containers and Semantic Web

Hagedorn

Liu

König

et al. 2023

J. Comput. Civ. Eng.

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The paper proposes a solution for a Building Information Modeling (BIM)-enabled Infrastructure Asset Management System (AMS) for road owners. The approach provides asset managers with a strategy for the dynamic use of Information Containers for Linked Document Delivery (ICDDs), considering the requirements of stakeholders across domains in the operational phase. The state of the art shows how information management can be carried out utilizing information containers employing Semantic Web technologies Resource Description Framework (RDF), SPARQL, and R2RML. The key output is developing a web-based platform that implements ICDD containers for asset management. Existing AMS are integrated by using SQL data mapped to RDF-based ontology data in the container. The use of existing domain-specific ontologies for infrastructure in combination with the linkage of domain knowledge to a three-dimensional BIM model is a step beyond the state of the art and practice in the construction industry. Linking inside the container allows for querying data across several information models and ontology-based data to create stakeholder-specific data views. The approach was demonstrated in two use cases. The first was related to the visual inspection of a concrete bridge. The detection of damage and the process of communicating the damage to a contractor charged with the repair were described. The second use case was related to a road pavement and demonstrated how decision-making about maintenance activities can be supported using cross-domain information containers.

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Section: Introductionmentioning

confidence: 99%

BIM-Enabled Infrastructure Asset Management Using Information Containers and Semantic Web

Hagedorn

Liu

König

et al. 2023

J. Comput. Civ. Eng.

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“…The easiest and most accessible method of pavement distress survey is visual inspection by qualified and subjective experts. On the other hand, this method requires a lot of manpower and finances; it is not very time effective and sometimes provides unreliable results (Ragnoli et al, 2018). In order to overcome these disadvantages, various automated devices are used.…”

Section: Introductionmentioning

confidence: 99%

“…In order to overcome these disadvantages, various automated devices are used. Some of them are used to determine a specific pavement characteristic or distress (such as falling weight deflectometer (FWD) or ground penetrating radar (GPR)), others are multifunctional and register a number of pavement characteristics (such as mobile laboratory RST-28 (Ziliute, Laurinavicius, & Kleiziene, 2011) used in Lithuania or multifunctional measurement vehicle MESAS (Pinkofsky & Jansen, 2018) used in Germany). There have been numerous studies on automatic cracking detection from pavement image data (Gavilán et al, 2011;Lovas, Kertész, Fi, & Barsi, 2008;Wang, Gopalakrishnan, Smadi, & Somani, 2018;Xu & Huang, 2005) or pothole detection using pavement video data (Huidrom, Das, & Sud, 2013;Koch & Brilakis, 2011).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Pavement Performance Models for Urban Road Management System

Kravcovas

Vaitkus

Kleizienė

2020

BJRBE

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The key factors for effective pavement management system (PMS) are timely preservation and rehabilitation activities, which provide benefit in terms of drivers’ safety, comfort, budget and impact on the environment. In order to reasonably plan the preservation and rehabilitation activities, the pavement performance models are used. The pavement performance models are usually based on damage and distress observations of rural roads, and can be applied to forecast the performance of urban roads. However, the adjustment of the parameters related to traffic volume, speed and load, climate conditions, and maintenance has to be made before adding them to PMS for urban roads. The main objective of this study is to identify the performance indicators and to suggest pavement condition establishment methodology of urban roads in Vilnius. To achieve the objective, the distresses (rut depth and cracks), bearing capacity, and international roughness index (IRI) were measured for fifteen urban roads in service within a two-year period. The distresses, rut depth and IRI were collected with the Road Surface Tester (RST) and bearing capacity of pavement structures were measured with a Falling Weight Deflectometer (FWD). The measured distresses were compared to the threshold values identified in the research. According to the measured data, the combined pavement condition indices using two methodologies were determined, as well as a global condition index for each road. The analysed roads were prioritized for maintenance and rehabilitation in respect to these criteria. Based on the research findings, the recommendations for further pavement condition monitoring and pavement performance model implementation to PMS were highlighted.

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Estimation of flexible pavement structural capacity using machine learning techniques

Karballaeezadeh

Tehrani

et al. 2020

Front. Struct. Civ. Eng.

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Structural pavement assessment in Germany

Cited by 5 publications

References 0 publications

BIM-Enabled Infrastructure Asset Management Using Information Containers and Semantic Web

BIM-Enabled Infrastructure Asset Management Using Information Containers and Semantic Web

Comparison of Pavement Performance Models for Urban Road Management System

Estimation of flexible pavement structural capacity using machine learning techniques

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