Acoustic Emission Experiments of Rock Failure Under Load Simulating the Hypocenter Condition

Zhang, Huihui; Yin, Xingyao; Liang, Ning; Yu, Huaqing; Li, Shiyu; Wang, Y. C.; Yin, Chuancun; Kukshenko, Victor; Tomiline, Nikita; Elizarov, Surguei

doi:10.1007/s00024-006-0129-8

Cited by 16 publications

(10 citation statements)

References 47 publications

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“…YIN et al, 1995WANG et al, 2004;YU et al, 2010YU et al, , 2011ZHANG et al, 2006aZHANG et al, , c, 2010. Prior to occurrence of a large earthquake, the LURR time series usually climb to an anomalously high value.…”

Section: Discussionmentioning

confidence: 99%

“…Since the first complete stressstrain curve was obtained by Cook in 1963(COOK, 1963, large numbers of rock failure experiments were undertaken to study the rock progressive failure process (LOCKNER and BYERLEE, 1977;HSU et al, 1977;CERANOGLU and PAO, 1981). To simulate the nature failure process of rock samples, the artificial triaxial tests are introduced in experimental investigations YU et al, 2006;ZHANG et al, 2006a). The results showed that unstable point was found after the peak strength point in the complete stress-strain curve.…”

Section: Introductionmentioning

confidence: 99%

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Failure Potential Evaluation in Engineering Experiments Using Load/Unload Response Ratio Method

Zhang

Yin

2011

Pure Appl. Geophys.

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Abstract-The Load/Unload Response Ratio (LURR) method is proposed for prediction of the failure of brittle heterogeneous materials. Application of the method typically involves evaluating the external load on materials or structures, differentiating between loading and unloading periods, determining the failure response during both periods from data input, and calculating the ratio between the two response rates. According to the method, the LURR time series usually climbs to an anomalously high peak prior to the macro-fracture. To show the validity of the approach in engineering practice, we applied it to the loading and unloading experimental data associated with a two-floor concrete-brick structure. Results show that the LURR time series of the two floors consists of the damage evolution of the structure: they are at low level for most of the time, and reach the maxima prior to the final fracture. We then attempt to combine the LURR values with damage variable (D) to provide the health assessment of the structure. The relationship between LURR and D, defined as a function of Weibull stochastic distribution, is set up to provide more detailed underlying physical means to study damage evolution of the structure. The fact that the damage evolution of the structure correlates well with the variation of LURR time series may suggest that the LURR approach can be severed as a useful tool to provide the health assessment to big scale structures or ancient buildings.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Failure Potential Evaluation in Engineering Experiments Using Load/Unload Response Ratio Method

Zhang

Yin

2011

Pure Appl. Geophys.

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“…The size of the rock specimens and the arrangement of the AE sensor are shown in Figure 4, while the loading process and AE event rate and energy rate versus time for the specimen are shown in Figure 5. The evolution of LURR during the rock fracture experiment has been analyzed in terms of Equation (3) of the samples and the correlationship between the AE and the load are also studied by Zhang [25][26][27][28]. Figure 6 shows the curve of LURR value versus time during rock fracture experiment for the specimen in terms of Equation (3).…”

Section: Experimental Analysismentioning

confidence: 99%

“…Our group has carried out AE experiments for medium scale rock specimens by means of international cooperation [10,[25][26][27][28]. The dimensions of the specimens are 300 mm × 360 mm × 25 mm.…”

Section: Experimental Analysismentioning

confidence: 99%

Relationship between load/unload response ratio and damage variable and its application

Zhang¹,

Yin²,

Liang³

2010

Concurrency and Computation

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SUMMARYThe physics-based parameter: load/unload response ratio (LURR) was proposed to measure the proximity of a strong earthquake, which achieved good results in earthquake prediction. As LURR can be used to describe the damage degree of the focal media qualitatively, there must be a relationship between LURR and damage variable ( D) which describes damaged materials quantitatively in damage mechanics. Hence, based on damage mechanics and LURR theory, taking Weibull distribution as the probability distribution function, the relationship between LURR and D is set up and analyzed. This relationship directs LURR applied in damage analysis of materials quantitatively from being qualitative earlier, which not only provides the LURR method with a more solid basis in physics, but may also give a new approach to the damage evaluation of big scale structures and prediction of engineering catastrophic failure. Copyright

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“…The picture on the left is the result of seismic data (Loma Preita earthquake) [12], the middle one is an experimental result of rock specimen [8,17] and the one on the right is an analytical result in terms of damage mechanics [18].…”

Section: The Peak Point Of Lurr and Its Significancementioning

confidence: 99%

The peak point of LURR and its significance

Yin

Zhang

et al. 2010

Concurrency and Computation

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SUMMARYThe Load/Unload Response Ratio (LURR) value fluctuates around one during the early stage of the seismogenic process and then rises and reaches its peak point before the occurrence of a strong earthquake; the strong earthquake however does not onset at that time, but after the peak point LURR decreases sharply at the eve of the main shock before the final event outbreak. Thus, the peak point of LURR is ahead of the occurrence of an earthquake. We denote the lead time as T 2 . The discovery of peak point for LURR and the relationship between T 2 and magnitude M is of great significance as the peak point is usually easy to determine and then we can predict the occurrence time for the coming event according to Equation (3) so that we can enhance the precision of time for earthquake prediction in terms of LURR from 'year' scale to 'month' scale. The variation of LURR around the Wenchuan earthquake and its lesson to us are depicted in the paper.

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Acoustic Emission Experiments of Rock Failure Under Load Simulating the Hypocenter Condition

Cited by 16 publications

References 47 publications

Failure Potential Evaluation in Engineering Experiments Using Load/Unload Response Ratio Method

Failure Potential Evaluation in Engineering Experiments Using Load/Unload Response Ratio Method

Relationship between load/unload response ratio and damage variable and its application

The peak point of LURR and its significance

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