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3-1 Source Mechanisms – Theory of AE 3-2 Moment Tensor – Basics 3-3 Moment Tensor – SiGMA Analysis
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3-1 Source Mechanisms -Theory of AE October 18, 2007 (1/3) Generalized Theory Moment Tensor Spatial Derivatives of Green’s Functions Dislocation Model Radiation Pattern
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Generalized theory of AE u k (x,t)= ∫ F [G ki (x,y,t)*t i (y,t) - T ki (x,y,t)*u i (y,t)]dS Separation--------------------------- AE wave due to force: u k (x,t)= ∫ F G ki (x,y,t)*t i (y,t)dS AE wave due to crack: u k (x,t)= ∫ F T ki (x,y,t)*u i (y,t)dS
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u k (x,t)= ∫ F T ki (x,y,t)*u i (y,t)dS u k ( x,t)= G kp,q ( x, y,t)*S(t) C pqij n j l i V In micromechanics [Mura 1982], tensor n j l i V is defined as the eigenstrain, which is explicitly equivalent to the damage tensor in damage mechanics [Kachanov 1980].
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C pqkl l k n l V= M pq the moment tensor, M pq, is defined by the product of the elastic constants C pqkl [N/m 2 ] and the crack volume V[m 3 ], which leads to the moment of physical unit [Nm]. This is a reason why the tesnor M pq is named the moment tenso r
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C pqkl = pq kl + + pl qk
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Mathematically, the moment tensor is comparable to a stress as a symmetric second-order tensor, because components are readily obtained from the product of the eigenstrain and elastic constants.
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The case l = (1, 0, 0) n = (0, 1, 0) and V = b F. b F is defined as the seismic moment Off-diagonal components of the moment tensor
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u k (x,t)= G kp,q (x,y,t)*S(t) C pqij n j l i V u k (x,t) = G kp,q (x,y,t) M pq *S(t) AE source is represented by the moment tensor M pq and the source-time function S(t). Crack kinetics is represented by S(t), which is solved by the deconvolution analysis. Crack kinematics are represented by the moment tensor. AE waves due to crack nucleation
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u k (x,t) = G kp,q (x,y,t) M pq *S(t) Spatial derivatives, G kp,q (x,y,t), is necessary, not Green’s function G kp (x,y,t). Consequently, empirical Green’s functions (EGF) by a pencil-lead break are no use for AE waves due to crack nucleation, unless the spatial derivatives are obtained experimentally. So, application of EGF is definitely non-sense.
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G i1,1 (x, y 1, t) = lim [G i1 (x, y 1 + y 1,t) – G i1 (x, y 1, t)]/ y 1 u i = G i1,1 m 11 + …….
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G i1,2 (x, y 2, t) = lim[G i1 (x, y 2 + y 2, t) – G i1 (x, y 2, t)]/ y 2. u i =G i1,2 m 12 +…….
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Tensile motion: normal vector n = (0, 0, 1) motion vector l = (0, 0, 1). The moment tensor becomes
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Shear crack crack normal n = (0, 0, 1) motion vector l = (1, 0, 0).
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An application of the moment tensor analysis to AE waves was earlier reported on cracking mechanisms of glass due to indentation [Kim & Sachse 1984], where only diagonal components of the tensor were assumed. It is realized that the presence of tensor components is not actually associated with the type of the crack, but closely related with the coordinate system.
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Although the crack orientations are often assumed as parallel to the coordinate system [Saito, Takemoto et al. 1998, Takemoto 2000], they are generally inclined to the coordinate system because cracks are nucleated in random orientations. As a result, the presence of all the components is to be reasonably assumed even though the type of the crack is of either the tensile or of the shear.
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By taking into account only P wave motion of the far field (1/R term) of Green’s function in an infinite space of an isotropic-elastic body,
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Tensile Crack Shear Crack
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All positive amplirudes 4 quadrant model in earthquakes
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The radiation pattern and the equivalent force models of the dipole and the double-couple are not essential to study the source characterization of AE waves. The important result is the fact that kinetics of AE source is recovered by the deconvolution analysis, and kinematics can be represented by the moment tensor. The force models and the radiation patterns just show us the principal components of the moment tensor.
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Moment Tensor Inversion Theoretical Backgrounds Far-Field Approximation Sensor Calibration SiGMA Procedure
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In seismology, linear inversion techniques were proposed to determine the moment tensor component in both time and frequency domains [Stump & Johnson 1977] and [Kanamori & Given 1981]. Although all the components of the moment tensor must be determined, the moment tensor inversion with constraints has been normally applied in seismology [Dziewonski & Woodhouse 1981]. This is partly because a fault motion of an earthquake is primarily associated with shear motion, corresponding to off-diagonal components in the moment tensor.
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Both tensile motion of diagonal components and shear motion of off-diagonal are definitely present in crack motions as an AE source. Elsewhere, another procedure named the relative moment tensor inversion is proposed [Dahm 1996]. They have named the relative moment tensor analysis.
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Basic equation: To inversely solve the above equation and to determine all components of the moment tensor, the spatial derivatives of Green's functions are inevitably required. Accordingly, numerical solutions are obtained by the Finite Difference Method (FDM) [Enoki, Kishi et al. 1986] and by the Finite Element Method (FEM) [Hamstad, O’Gallagher et al. 1999].
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These solutions, however, need a vector processor for computation and are not readily applicable to processing a large amount of AE waves. Consequently, based on the far-filed term of P wave, a simplified procedure was developed [Ohtsu, Okamoto et al. 1998], which is suitable for a PC- based processor and robust in computation. The procedure is now implemented as a SiGMA (Simplified Green's functions for Moment tensor Analysis) code.
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Taking into account only P wave motion of the far field (1/R term) of Green’s function in an infinite space, the displacement U i (x,t) of P wave motion is obtained, In the case that we are interested in motions of AE waves at the observation point, the first approximation could be an elastic wave in a half space.
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Displacement motions detected at location A in a half space (solid curves in a) and b)), compared with solutions in an infinite space (broken curve in a)) and of the far-filed (broken curve in b)).
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In all the cases, it is observed that the amplitude of the first motion (P wave) in a half space is almost as twice as the amplitudes both of the infinite-space solution and the far-filed solution. The ratio of the amplitude in a half space to that of the infinite space is equivalent to the reflection coefficient Re(t,r),
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t is the orientation vector of sensor sensitivity and k = v p /v s and a is the scalar product of vector r and vector t. In the case that P wave is incident vertically to the surface (a=1), Re(t,r) =2. Consequently, the first motions of AE waves detected at the observation point can be approximated with the good accuracy as the product of the far-field solution and the reflection coefficient.
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Considering the effect of reflection at the surface, the amplitude of the first motion Ao(x,t) in the far-field due to an applied force f(t) is derived
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The relative calibration coefficient Cs of equivalent sensitivity is obtained for each sensor.
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In a few cases, absolutely calibrated sensors are available. In this respect, a moment tensor analysis to determine the relative tensor components is preferable in practical applications.
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Since the moment tensor is a symmetric tensor of the 2 nd rank, the number of independent components is six. These components can be determined from the observation of the first motions at more than six sensor locations.
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To solve the equation and determine six components of the moment tesnor, the coefficient Cs, the reflection coefficient Re(t,r), the distance R, and its direction cosine vector r are necessary. The determination of Cs and Re(t,r) is already discussed. Other values can be obtained from the source (flaw) location analysis. Thus, the location analysis is essential to perform the moment tensor analysis.
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In the SiGMA analysis, two parameters of the arrival time (P1) and the amplitude of the first motion (P2) are visually determined from AE waveform,
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SiGMA analysis In the location procedure, the crack location y is determined from the arrival time differences t i between the observation x i and x i+1, solving equations, R i – R i+1 = | x i – y | - | x i+1 – y | = v p t i. Then, the distance R and its direction vector r are determined. The amplitudes of the first motions at more than 6 channels are substituted, and the components of the moment tensor are determined from a series of algebraic equations. Since the SiGMA code requires only relative values of the moment tensor components, the relative calibration coefficient Cs of AE sensors is sufficient enough.
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Eigenvalue Analysis Unified Decomposition of Eigenvalues Crack Orientation Two-Dimensional (2-D) Treatment
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In the SiGMA code, classification of a crack is performed by the eigenvalue analysis of the moment tensor [Ohtsu, 1991] This is because that the presence of tensor components is not actually associated with the type of the crack, but closely related with the coordinate system. Although the crack orientations are often assumed as parallel to the coordinate system, they are generally inclined to the coordinate system.
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The moment tensor for a shear crack: From the eigenvalue analysis, three eigenvalues are obtained as V, 0, and - V. Setting the ratio of the maximum shear contribution as X, three eigenvalues for the shear crack are represented as X, 0, -X.
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The matrix is already diagonalized, and diagonal components are identical to three eigenvalues V, V, V, which are decomposed as,
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The components can be decomposed into the deviatoric (non-volumetric) components [1 st term] and the isotropic components [2 nd term]. Setting the ratio of the maximum deviatoric tensile component as Y and the isotropic tensile as Z, three eigenvalues are denoted as, -Y/2 + Z, -Y/2 + Z and Y + Z.
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1.0 = X + Y + Z, the intermediate eigenvalue/the maximum eigenvalue = 0 - Y/2 + Z, the minimum eigenvalue/the maximum eigenvalue = -X - Y/2 + Z.
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The ratios X, Y, and Z are mathematically determined in an isotropic solid. Setting the angle, c, between crack vector l and normal vector to the crack surface n, as cos c = (l,n) X = [(1 - 2n) - (1 - 2n)cos c]/[(1 - 2n) + cos c], Y = 4(1 - 2n)cos c/[3(1 - 2n) + 3cos c], Z = 2(1 + n)cos c/[3(1 - 2n) + 3cos c],
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In the SiGMA code, AE sources of which the shear ratios are less than 40% are classified into tensile cracks. The sources of X > 60% are classified into shear cracks. In between 40% and 60%, cracks are referred to as mixed mode.
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From the eigenvalue analysis of the moment tensor, three eigenvectors e1, e2, e3 are also obtained. These are presented by the two vectors l and n, e1 = l + n e2 = l x n e3 = l – n.
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In the first version of SiGMA [Ohtsu 1991], the orientations of tensile cracks are determined from the vector e1, and those of shear cracks are presented by two vectors l and n, which are usually perpendicular.
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Deformations of the plate are classified into two motions. One is in-plane motion where a crack surface is generated as the normal vector to the crack plane is vertical to the x 3 -axis and AE waves are detected at the edge of the plate. The other is out-of-plane motion where the crack surface is created parallel to the x 1 -x 2 plane.
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In in-plane motions, the x 3 -components of both the vector l and n are equal to zero. Still, SiGMA is available. In the case of the out-of-plane observation, only the case that a tensile crack is generated parallel to the x 1 -x 2 plane can be treated. Otherwise, no information can be recovered.
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the moment tensor in an isotropic solid, In the case that AE sensors are attached at the edge of the plate, the components of the tensor are readily defined except m 33 component, because no motion in the x 3 -direction is detected.
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The m 33 component is actually determined from [Shigeishi & Ohtsu 1999], m 33 = l k n k = (m 11 +m 22 )/(2 +2 ) = (m 11 +m 22 ).
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The component of the moment tensor: m 11, m 12, m 22 are determined, solving the following equation, Since the m 33 component is obtained, the unified decomposition of the eigenvalues and the orientation analysis by the eigenvectors are readily performed in the same manner as those of the 3-D problems.
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To locate AE sources, 5-channel system is at least necessary for three-dimensional (3-D) analysis. Since 6-channnel system is the minimum requirement for the SiGMA analysis, more than 6-channel system is in demand. In contrast, although 3-channel system is available for the SiGMA-2D analysis, the location analysis requires 4-channel system.
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