Evaluation Residual Compressive Strength of Tunnel Lining Concrete Structure after Fire Damage Based on Ultrasonic Pulse Velocity and Shear-Wave Tomography

Wang, Qiang; Chen, Daqing; Zhu, Kai; Zhai, Zitai; Xu, Jianbin; Wu, Linlin; Dong, Hui; Wei, Xu; Huang, Huandong

doi:10.3390/pr10030560

Cited by 4 publications

(6 citation statements)

References 32 publications

(39 reference statements)

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“…This method can visualize the interior of the structure, but the IR temperature field photography technology is not sensitive enough and is highly dependent on temperature differences [7]. UI involves using the sound waves reflected from the surface of a medium to detect internal defects [8]. However, during the detection process, the transducer needs to be well coupled to the surface of the structure, which reduces its efficiency and applicability in tunnel detection [9].…”

Section: Introductionmentioning

confidence: 99%

Acoustic tunnel lining cavity detection using cepstral coefficients with optimized filter bank

Wu,

Cheng,

Yan

et al. 2024

Meas. Sci. Technol.

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Tunnels are an essential component of modern transportation infrastructure, and their structural health is critical to traffic safety, which can be seriously affected by tunnel lining cavities. In this paper, an acoustic-based detection approach for assessing the integrity of tunnel linings is studied. By tapping the tunnel lining surface, acoustic signals are sampled and analyzed using a novel feature parameter extraction algorithm—the energy-frequency cepstral coefficient, which uses wavelet packet decomposition to obtain energy distribution statistics in the frequency domain of the signal, and constructs a signal-dependent filter bank to achieve the cepstral coefficient extraction. Compared with the traditional Mel filter bank, this method can adaptively adjust the resolution of the filter bank according to the frequency characteristics of the classified samples. This allows for higher frequency resolution in regions where the energy distribution is concentrated. As a result, the extracted feature parameters achieve both dimensional compression and superior information retention. Experimental results show that the proposed energy-frequency cepstral coefficient feature outperforms the traditional Mel-frequency cepstral coefficient feature, resulting in a higher accuracy of tunnel lining detection. The convolutional neural network model achieves an accuracy of 99.2%, with a 78.9% reduction in error rate compared with the traditional Mel-frequency cepstral coefficient feature parameters. Additionally, a particle swarm optimization support vector machine model is trained to achieve an accuracy rate of 99.6% and an error rate reduction of 76.5%.

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Section: Introductionmentioning

confidence: 99%

Acoustic tunnel lining cavity detection using cepstral coefficients with optimized filter bank

Wu,

Cheng,

Yan

et al. 2024

Meas. Sci. Technol.

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“…Tunnel linings can sufer heavy structural damage or even collapse when exposed to tunnel fre temperature curves. Previous studies showed that tunnel fre temperature curve is diferent from normal temperature curve [17,18]. An assessment of postfre damage is the most important thing when evaluating the structural safety of a tunnel's concrete lining [17].…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies showed that tunnel fre temperature curve is diferent from normal temperature curve [17,18]. An assessment of postfre damage is the most important thing when evaluating the structural safety of a tunnel's concrete lining [17]. Wang et al [17] studied the residual compressive strength (RCS) of small-scale lining concrete blocks and detection of inner defects in the lining structure through combined ultrasonic pulse velocity (UPV) and ultrasonic shear-wave tomography.…”

Section: Introductionmentioning

confidence: 99%

“…An assessment of postfre damage is the most important thing when evaluating the structural safety of a tunnel's concrete lining [17]. Wang et al [17] studied the residual compressive strength (RCS) of small-scale lining concrete blocks and detection of inner defects in the lining structure through combined ultrasonic pulse velocity (UPV) and ultrasonic shear-wave tomography. Previous studies on concrete cube and drilled cores from small-scale slab test have reported the residual compressive strength of concrete at a maximum temperature around 700 °C and compared the fre-resistant performance based on residual strength solely [8,15,16].…”

Section: Introductionmentioning

confidence: 99%

“…For realistic assessment of the fre damage of concrete tunnels, an established method would be necessary to capture the potential damage scenarios [27]. Some researchers provided emphasis on determining the residual strength and some others emphasized on spalling behaviour of cover concrete [17,18,20,24,25]. However, in reality, both parameters are important for determining the service life of the concrete tunnel after a fre event.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Quality of Concrete Tunnel Lining Exposed to Tunnel Fire through Residual Compressive Strength

Alhawat

Hamid

Baharom

et al. 2023

Advances in Civil Engineering

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Compressive strength performance of concrete after exposure to the elevated temperature is important for evaluating and repairing concrete structures. This paper presents an experimental study to determine the residual compressive strength of concrete used in tunnel lining after exposed to tunnel fire. Two types of concrete tunnel lining segments are evaluated in this study. One of it was constructed using a patented fire-resistant concrete (MYC) containing high volume fly ash and nanosilica (HVFANS). Another concrete tunnel lining segment was constructed using concrete containing silica fume normally used in the current construction, coded as SPC concrete. The drilled core results show that, after exposure to tunnel fire temperature up to around 1045°C, the compressive strength of MYC has dropped to 66% of the design strength. In comparison, the SPC concrete showed a decrease in compressive strength to 62% of design strength. The experimental results confirmed that the SPC segments have shown slightly lower residual compressive strength compared to the MYC segments. However, the MYC tunnel segment shows high resistance to the spalling of cover concrete compared to the SPC tunnel segment. Therefore, it can be said that the residual strength alone is not sufficient to compare the damage of concrete exposed to tunnel fire; the spalling damage observation is similarly important as it is one of the important serviceability criteria for designing concrete structures.

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Experimental investigation on the performance of ground granulated blast furnace slag and nano-silica blended concrete exposed to elevated temperature

Singh

Tiwary

Singh

2023

Construction and Building Materials

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Evaluation Residual Compressive Strength of Tunnel Lining Concrete Structure after Fire Damage Based on Ultrasonic Pulse Velocity and Shear-Wave Tomography

Cited by 4 publications

References 32 publications

Acoustic tunnel lining cavity detection using cepstral coefficients with optimized filter bank

Acoustic tunnel lining cavity detection using cepstral coefficients with optimized filter bank

Assessing the Quality of Concrete Tunnel Lining Exposed to Tunnel Fire through Residual Compressive Strength

Experimental investigation on the performance of ground granulated blast furnace slag and nano-silica blended concrete exposed to elevated temperature

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