AbstractIn this study, the mechanical behaviour of nano magnesia–cement-reinforced seashore soft soil (NmC3S) was evaluated and characterised by the direct-shear testing of seashore soft soil (3S), cement reinforced seashore soft soil (C3S) and NmC3S. The comparison among these three types of soils indicates that NmC3S has greater shear strength and deformation modulus than C3S and 3S. The shear stress of both C3S and NmC3S increase significantly prior to a shear displacement of 1.0?mm, followed by a sharp decline before reaching the critical state. The failure displacement increases as the applied normal stress increases. NmC3S demonstrated greater friction angle than both C3S and 3S; however, the magnitude of its cohesion lies between that of C3S and 3S. Moreover, a mathematical model that describes the shear stress–displacement curve was proposed, which can effectively model the strain-hardening and strain-softening curves of these three types of clays. Finally, a generalised formula for capturing the stress–displacement behaviour of these three materials is presented with the explanations for the physical meaning of each parameter. 相似文献
Using Altera's Quartus Ⅱ, Nios Ⅱ IDE and Sopc Builder development tools, the proton precession magnetometer principle host hardware platform is designed in a cyclone Ⅱ series FPGA chip (EP2C35). The proton precession magnetometer principle host core circuit's single-chip system-logic design is achieved by building and configuring the Nios Ⅱ soft-core processor, developing the IO interface and sensor control circuits, programming some hardware units' VHDL code, for example the equal precision cymometer and the DPLL. Through researching the embedded operating system configuration technology and building the NIOS Ⅱ soft-core processor's μClinux cross-compile environment, the μClinux system is transplanted to the NIOS Ⅱ environment. Another important task is writing the device drivers' and user programs' code. Through these work, the design realize the host function and achieve the expected target.