Accelerated Stiffness Profiling of Aggregate Bases and Subgrades for Quality Assessment of Field Compaction

Joh, Sung-Ho; Kang, Tae-Ho; Kwon, Soo Ahn; Won, Moon

doi:10.3141/1975-09

Cited by 6 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the upper part of Figure 1a, phase information of the fundamental wave group, denoted as the backbone curve, is compared with phase information used to calculate phase velocities, denoted as the enhanced curve. In the midst of calculating phase velocities, the peak-trough and frequency-wavenumber technique (19) was employed to pick an appropriate surface wave mode (Figure 1b).…”

Section: Automated Phase Velocity Calculationmentioning

confidence: 99%

Pavement Integrity Scanner to Characterize Modulus Contrast between Near-Surface and Deeper Material in Concrete Pavements

Joh

Cho

Kang

et al. 2008

Transportation Research Record

Self Cite

View full text Add to dashboard Cite

A major distress problem in rigid concrete pavements is early deterioration of near-surface layers. The quality of near-surface material governs the long-term performance of concrete pavement. If the near-surface material of the concrete layer is cured sufficiently well at an appropriate moisture and temperature, the concrete pavement system can be expected to endure fatigue loading of traffic throughout its design life span. A field measurement device, referred to as a pavement integrity scanner (PiScanner), was developed for use in quality control and quality assurance programs for concrete layers of pavement systems. PiScanner is based on the enhanced resonance search (ERS) technique, which evaluates the vertical variation of elastic modulus or compressive strength of the concrete layer in pavement systems. This information can be used in the construction period of a concrete pavement to evaluate the curing process of near-surface materials. In the implementation of the PiScanner, two design schemes were incorporated: a dedicated hardware device to perform measurements and an automated analysis algorithm to minimize user expertise required for analysis. The resulting PiScanner allows ERS measurements to be performed in about 2 min with complete analysis of the measurements in about 3 min. Two field investigations were performed on a concrete test slab and at an express highway to prove the reliability and feasibility of PiScanner. Vertical variations of elastic modulus of concrete layer were successfully obtained by PiScanner.

show abstract

Section: Automated Phase Velocity Calculationmentioning

confidence: 99%

Pavement Integrity Scanner to Characterize Modulus Contrast between Near-Surface and Deeper Material in Concrete Pavements

Joh

Cho

Kang

et al. 2008

Transportation Research Record

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to identify the predominant propagation modes easily, an inversion method based on the maximum vertical flexibility coefficient was introduced [10]. In addition, a new algorithm called peak-through and frequency-wave number (PT/FW) technique was developed in 2006 to determine the phase velocity more effectively instead of the traditional phase difference method [11]. Moreover, GA (Genetic Algorithm) based inversion [12] and combination of genetic and linearized algorithms in a two-step joint inversion [13] were also employed in recent years.…”

Section: Introductionmentioning

confidence: 99%

A fast inversion analysis algorithm for the spectral analysis of surface wave (SASW) method

Cao¹,

Lu²,

Zhang³

et al. 2011

SPIE Proceedings

View full text Add to dashboard Cite

Spectral Analysis for Surface Wave (SASW) is a widely practiced NDT method due to its ability to identify the shear velocity profile of subsurface layers. However, the SASW method is limited to point-to-point inspection because all data has to go through an inversion process, which is iterative and manual. Some automated iteration techniques were developed to improve the efficiency of inversion analysis. These attempts did not change the situation much because they were still based on the guess-and-check procedure incorporated with a forward analysis. In this paper, a new inversion analysis algorithm is proposed to estimate the shear velocity profile rapidly without performing conventional forward analysis. Unlike conventionally determining the dispersion curve with a stiffness matrix or something similar, the dispersion curve of a layered structure is assumed to be a weighted combination of the shear velocity profile. The weighting factors are determined according to the variation of particle displacement with depth for a specified wavelength of surface wave. Based on this assumption, a fast inversion algorithm is established to estimate the shear velocity profile from a given dispersion curve. No prior knowledge of the test site or personal expertise is needed because this method does not require the initial values of the layer depths and shear velocities. This new method allows the SASW method to be a fully automatic or even real-time reporting method for highway pavement detection. The accuracy of this fast inversion algorithm is verified by comparing the results to those of the conventional algorithm.

show abstract

“…In order to identify the predominant propagation modes easily, an inversion method based on the maximum vertical flexibility coefficient was introduced [18]. In addition, a new algorithm called peak-through and frequency-wave number (PT/FW) technique was developed in 2006 to determine the phase velocity more effectively instead of the traditional phase difference method [19]. Moreover, GA (genetic algorithm)-based inversion [20] and combination of genetic and linearized algorithms in a two-step joint inversion [21] were also employed in recent years.…”

mentioning

confidence: 99%

Fast Inversion of Air-Coupled Spectral Analysis of Surface Wave (SASW) Using in situ Particle Displacement

Cao

McDaniel

et al. 2015

IJGI

View full text Add to dashboard Cite

Spectral Analysis of Surface Wave (SASW) is widely used in nondestructive subsurface profiling for geological sites. The air-coupled SASW is an extension from conventional SASW methods by replacing ground-mounted accelerometers with non-contact microphones, which acquire a leaky surface wave instead of ground vibration. The air-coupled SASW is a good candidate for fast inspection in shallow geological studies. Especially for pavement maintenance, minimum traffic interference might be induced. One issue that restrains SASW from fast inspection is the traditional slow inversion which relies on guess-and-check iteration techniques including a forward analysis. In this article, a fast inversion analysis algorithm is proposed to estimate the shear velocity profile without performing conventional forward simulation. By investigating the attenuation of particle displacement along penetrating depths, a weighted combination relationship is derived to connect the dispersion curve with the shear velocity profile directly. Using this relationship, the shear velocity profile could be estimated from a given/measured dispersion curve. The proposed procedure allows the surface wave-based method to be fully automatic and even operated in real-time for geological site and pavement assessment. The method is verified OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 2620 by the forward analysis with stiffness matrix method. It is also proved by comparing with other published results using various inversion methods.

show abstract

Accelerated Stiffness Profiling of Aggregate Bases and Subgrades for Quality Assessment of Field Compaction

Cited by 6 publications

References 11 publications

Pavement Integrity Scanner to Characterize Modulus Contrast between Near-Surface and Deeper Material in Concrete Pavements

Pavement Integrity Scanner to Characterize Modulus Contrast between Near-Surface and Deeper Material in Concrete Pavements

A fast inversion analysis algorithm for the spectral analysis of surface wave (SASW) method

Fast Inversion of Air-Coupled Spectral Analysis of Surface Wave (SASW) Using in situ Particle Displacement

Contact Info

Product

Resources

About