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Computational Modeling and Simulation Examples in Bioengineering. Группа авторов
Читать онлайн.Название Computational Modeling and Simulation Examples in Bioengineering
Год выпуска 0
isbn 9781119563914
Автор произведения Группа авторов
Жанр Химия
Издательство John Wiley & Sons Limited
One of the most complete data for biaxial mechanical behavior of aorta and AAAs is described in Vande Geest et al. [69, 70]. They reported on biaxial mechanical data for AAA (26 samples) and normal human AA as a function of age: less than 30, between 30 and 60, and over 60 years of age. They found that the aortic tissue becomes less compliant with age and that AAA tissue is significantly stiffer than normal abdominal aortic tissue.
At Clinical Center in Belgrade, Serbia, we developed an experimental procedure for bubble inflation test. Intraoperatively, specimens of anterior wall of AAA are harvested, stored in saline at 4° C immediately, and placed in the laboratory setup that simulates natural forces by exposing aortic tissue specimen to inflation with pressurized solution [71] (Figure 1.1). The model consists of the mechanical pump with Crebs–Ringer solution, heater and heat exchanger, tissue container, pressure sensor, and transducer with camera. Camera and pressure transducer system were connected by USB connection with the laptop serving as a control unit and data collector. After heating the Crebs–Ringer solution in the system to 37 °C, the pump was turned on and the pressure was gradually increased exposing aortic tissue to the maximum pressure until the moment of tissue rupture that was recorded by a webcam placed above the tissue. Pressure value in the moment of rupture was known due to the dedicated software defining tissue (failure) strength.
Ex‐vivo testing is mostly based on uniaxial or biaxial stretching of the intraoperatively harvested tissue specimens. These tests have the ability to characterize intrinsic properties of the tissue itself with independent physical meanings, stiffness, failure stress, and strain. Tissue sample is exposed to extension along its length at a constant displacement rate, while the force is recorded during extension and until failure of the tissue. Uniaxial extension testing is the simplest and most common. Van de Geest et al. [72] reported uniaxial extension testing of 69 AAA specimens, from 21 patients. A novel mathematical model to estimate physically meaningful measures such as stiffness varied from 21.2 to 19.3 N/cm2, mean 80.5 N/cm2.
Improvement of uniaxial testing was achieved by performing biaxial testing, when specimen is exposed to determined forces between the two orthogonal directions. Using biaxial testing, the same authors compared the tissue of AAA and normal aorta and compared their behavior in longitudinal and circumferential direction. They found that aneurysmal degeneration of the abdominal aorta is associated with an increase in mechanical anisotropy, with preferential stiffening in the circumferential direction. Information related to stiffness and strain of aortic tissue was gained. Thubrikar et al. [73] were testing different regions of aneurysm in terms of yield stress, yield strains, and other mechanical properties, and found that the anterior wall of AAA is the weakest. In the circumferential direction, the yield stress of the lateral region was greater than that of the anterior or posterior region (73 + 22 N/cm2 versus 52 + 20 N/cm2 or 45 + 14 N/cm2, respectively).
Our results showed rupture of the tissue at the inflation pressure of 9.8 N/cm2. The analytical calculated wall strength for wall thickness 0.2 cm and aorta radius 1 cm was 24.5 N/cm2. FEA showed PWS of 57 N/cm2 and wall stress of 21.2 N/cm2 at the anterolateral wall of AAA in the area of harvested tissue [71].
Figure 1.1 (a) Cartoon schema. (b) Real laboratory model. Laboratory model consists of the mechanical pump (3) with Crebs–Ringer solution (4), heater (1) and heat exchanger (2), tissue container (6), pressure sensor (5), and transducer with camera (9). Camera and pressure transducer system were connected by USB connection with the laptop serving as a control unit and data collector. After heating the Crebs–Ringer solution in the system to 37 °C (7 – temperature sensor), the pump was turned on and the pressure was gradually increased exposing aortic tissue (6) to the maximum pressure until the moment of tissue rupture that was recorded by a webcam placed above the tissue. Pressure value in the moment of rupture was known due to the dedicated software defining tissue (failure) strength.
1.5 Material Properties of the Aorta Wall
It is very important to use arterial wall with proper material model because the wall stiffness increases when lumen diameter increases and calcification and medial sclerosis occur with aging and disease. The aneurysmal wall has been found to be mechanically anisotropic [74]. Isotropic properties assumption is a reasonable assumption in most cases. A more accurate constitutive model is needed to describe the properties of the wall.
The flat arterial tissue layer is assumed to be a fiber‐reinforced material with relatively stiff collagenous fibers embedded in a homogeneous isotropic (soft) ground matrix [75]. The assumption of strain energy functions holds good only for single continuous medium tissues which is not the case with arterial tissue [76]. The mechanical properties of soft biological tissues depend greatly on their microstructure integration attained in the constitutive model [49]. Taghizadeh et al. [77] proposed a new biaxial constitutive model based on microstructural properties as opposed to the simple uniaxial tests carried out by Sokolis et al. [78] and Karimi et al. [79]. Wall thickness is also very important. Since aneurysmal rupture occurs at a specific site of the aortic lumen, the properties of the wall affect the computed solution. The aortic wall thickness in computational methods is assumed to be in the range of 1.5–2 mm. While this may be largely accurate for most simulations, it has been acknowledged as a major limitation in the completeness of the prediction solution [80]. Raut et al. [81] suggested that the wall thickness as a constant value is not accurate and described a novel method that incorporated the regionally varying wall thickness, especially in the area of rupture.
1.6 ILT Modeling
Most aneurysms have ILT within their lumen. Stenbaek et al. [82] described that the development of ILT may be a better predictor than the maximum diameter of the AAA as a rupture risk parameter. Li et al. [83] calculated that the non‐ILT models had higher stress development than the ILT models. Di Martino and Vorp [84] found that ILT might protect the AAA wall from the pressure applied by blood flow. O'Leary et al. [85] performed mechanical tests on 356 samples and classified them into 3 morphologies, type 1 which was a multilayered ILT which strength and stiffness decreased gradually, type 2 which strength decreased abruptly, and a single‐layered ILT with lower strength and stiffness compared with the other two types. Tong et al. [86] carried out biomechanical behavioral studies on 90 AAA samples (78 men and 12 women). They found that the female ILT luminal layer showed a lower stiffness in the longitudinal direction than male and, consequently, the thrombi may have different wall weakening effects in males and females. Speelman et al. [87–89] also showed that AAA wall stress is closely related to the AAA diameter. Namely, they investigated whether wall stress can be used to predict stable and progressive AAAs as well as the effect of ILT on wall stress. The study was conducted on the finite element models of 30 patients with wall stresses