Influence of mantle convection to the crustal movement pattern in the northeastern margin of the Tibetan Plateau based on numerical simulation

Zhu, Aiyu; Zhang, Dongning; Zhu, Tao; Guo, Yingxing

doi:10.1007/s11430-017-9236-7

Cited by 6 publications

(5 citation statements)

References 29 publications

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“…(In rolling of metal sheets, it is well known that rolling cracks can form, and lithiation will further reduce the amount one can thin down the sheet before gross mechanical/electrical failures.) After careful analysis and comparison, we find the lithiation process of foil‐like electrode is quite similar to tectonic geomorphology . We illustrate the microstructural evolutions during Sn foil prelithiation in Figure g.…”

Section: Introductionmentioning

confidence: 70%

“…However, further analysis finds the electrode still has serious damage, such as, 10 µm scale cracks (Figure 2e) and structural decrepitation (Figure 2f) which are factors that hinder further thinning of Li x Sn foil by rolling. [20,21] We illustrate the microstructural evolutions during Sn foil prelithiation in Figure 2g. After careful analysis and comparison, we find the lithiation process of foil-like electrode is quite similar to tectonic geomorphology.…”

Section: Introductionmentioning

confidence: 99%

“…After careful analysis and comparison, we find the lithiation process of foil-like electrode is quite similar to tectonic geomorphology. [20,21] We illustrate the microstructural evolutions during Sn foil prelithiation in Figure 2g.…”

Section: Introductionmentioning

confidence: 99%

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Sn‐Alloy Foil Electrode with Mechanical Prelithiation: Full‐Cell Performance up to 200 Cycles

Chen

et al. 2019

Advanced Energy Materials

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Self‐supporting Sn foil is a promising high‐volumetric‐capacity anode for lithium ion batteries (LIBs), but it suffers from low initial Coulombic efficiency (ICE). Here, mechanical prelithiation is adopted to improve ICE, and it is found that Sn foils with coarser grains are prone to cause electrode damage. To mitigate damage and prepare thinner lithiated electrodes, 3Ag0.5Cu96.5Sn foil is used that has more refined grains (5–10 µm) instead of Sn (50–100 µm), where the abundant grain boundaries (GBs) offer more sliding systems to release stress and reduce deep fractures. Thus, the thickness of Lix3Ag0.5Cu96.5Sn can be reduced to 50 µm, compared to 100 µm LixSn. When the foils contact open air, the Sn‐Li‐O(H) products are more stable than Li‐O(H), thus Lix3Ag0.5Cu96.5Sn shows outstanding air stability. The as‐prepared 50 µm foil anode achieves stable 200 cycles in LiFePO4//Lix3Ag0.5Cu96.5Sn full cell (≈2.65 mAh cm−2) and the capacity retention is 95%. Even at 5C, the capacity of Lix3Ag0.5Cu96.5Sn is still up to ≈1.8 mAh cm−2. The cycle life of NCM523//Lix3Ag0.5Cu96.5Sn full cell exceeds that of NCM523//Li. Furthermore, 70 µm Lix3Ag0.5Cu96.5Sn is used as double‐sided anode for a 3 cm × 2.8 cm pouch cell and its actual volumetric capacity density is 674 mAh cm−3 after 50 cycles.

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Section: Introductionmentioning

confidence: 70%

Section: Introductionmentioning

confidence: 99%

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Sn‐Alloy Foil Electrode with Mechanical Prelithiation: Full‐Cell Performance up to 200 Cycles

Chen

et al. 2019

Advanced Energy Materials

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“…Recent global positioning system (GPS) measurements [Gan et al, 2007] show that approximately 10 mm/yr of NE-SW or NNE-SSW horizontal shortening is accommodated in northeastern Tibet. The intense tectonic activity and frequent seismic activities in this region have thus been a hotspot of geoscience research for many years [Zhao et al, 2004;Chen et al, 2005;Li et al, 2006;Chang et al, 2008;Tian and Zhang, 2013;Bao et al, 2013;Li et al, 2017;Zhu et al, 2018;Sun et al, 2019]. and Tianshui (Ms 8.0) in 1654 (Fig.…”

Section: Seismic and Geological Backgroundmentioning

confidence: 99%

Uncertainty analysis of strong earthquake hazard estimation based on the generalized Pareto distribution model: A case study of the northeastern Tibetan Plateau

Ren

2021

Annals of Geophysics

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A statistical method to analyze the uncertainties of strong earthquake hazard estimation is proposed from Generalized Pareto distribution (GPD) model using the northeastern Tibetan Plateau earthquake catalogue (1885–2017) data. For magnitude threshold of 5.5, the magnitude return levels in 20, 50, 100, 200, and 500 years are 7.19, 7.70, 7.99, 8.22, and 8.45, respectively. The corresponding 95% confidence intervals are [6.77, 7.60], [7.27, 8.12], [7.53, 8.44], [7.71, 8.72], and [7.84, 9.06], respectively. The upper magnitude limit obtained from this GPD model is 9.07 and its 80% confidence interval is [8.16, 9.98]. The sensitivity analysis by the Morris method indicates that the input magnitude threshold has a relatively large influence on the estimation results. Thus, threshold selection is important for the GPD model construction. The sensitivity characteristic ranking of input factors become increasingly stable with the increasing of return period, which implies that GPD model is more suitable for estimating strong earthquakes magnitude return levels and upper magnitude limit. The GPD modeling approach and qualitative uncertainty analysis methods for strong earthquake hazard estimations proposed in this paper can be applied to seismic hazard analysis elsewhere.

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“…Numerical modeling provides a powerful tool for studying large-scale crustal kinematics (Hergert and Heidbach, 2010;, as well as a comprehensive three-dimensional (3D) view of fault activities with a spatially continuous distribution. High efficiency and accuracy have made numerical modeling a widespread technology in the geosciences, especially for the study of kinematics and dynamics of the NETP (Pang et al, 2019a, b;Sun et al, 2018Sun et al, , 2019Zhu et al, 2018;Xiao and He, 2015). However, these previous numerical models have been either two-dimensional (2D) or 3D with extremely simplified fault planes.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of contemporary kinematics at the northeastern Tibetan Plateau and its implications for seismic hazard assessment

Yang³

et al. 2022

Solid Earth

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Abstract. The slip rates of active faults in the northeastern Tibetan Plateau (NETP) require clarification to understand the lateral expansion of the Tibetan Plateau and assess the seismic hazards in this region. To obtain the continuous slip rates of active faults at the NETP, we constructed a three-dimensional (3D) numerical geomechanics model that includes a complex 3D fault system. The model also accounts for the physical rock properties, gravity fields, fault friction coefficients, initial stress, and boundary conditions. Following this, we present the long-term kinematics of NETP based on the horizontal and vertical velocities and fault slip rates acquired from the model. The fault kinematic characteristics indicate that the Laohushan, middle–southern Liupanshan, and Guguan–Baoji faults, as well as the junction area of the Maxianshan and Zhuanglanghe faults, are potential hazard areas for strong earthquakes. However, as these faults are currently in the stress accumulation stage, they are unlikely to cause a strong earthquake in the short term. In contrast, it is likely that the Jinqiangshan–Maomaoshan fault will generate a earthquake with a surface-wave magnitude (MS) of 7.1–7.3 in the coming decades. In addition, the velocity profiles across the NETP imply that the plate rotation is the primary deformation mechanism of the NETP even though the intra-block straining and faulting are non-negligible.

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Influence of mantle convection to the crustal movement pattern in the northeastern margin of the Tibetan Plateau based on numerical simulation

Cited by 6 publications

References 29 publications

Sn‐Alloy Foil Electrode with Mechanical Prelithiation: Full‐Cell Performance up to 200 Cycles

Sn‐Alloy Foil Electrode with Mechanical Prelithiation: Full‐Cell Performance up to 200 Cycles

Uncertainty analysis of strong earthquake hazard estimation based on the generalized Pareto distribution model: A case study of the northeastern Tibetan Plateau

Numerical simulation of contemporary kinematics at the northeastern Tibetan Plateau and its implications for seismic hazard assessment

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