使用python建立newmark位移预测模型、

您可以通过使用Python的科学计算库（如NumPy、SciPy、Pandas）和科学可视化库（如Matplotlib）来建立Newmark位移预测模型。下面是一些步骤：

1.导入所需的库：

import numpy as np
import matplotlib.pyplot as plt

2. 定义所需的物理常数和参数，例如刚度、质量、初始位移和速度等。

3. 实现Newmark位移预测模型的算法：

# 计算Newmark预测位移
def newmark_predictor(stiffness, mass, time_step, num_steps, initial_displacement, initial_velocity):
    # 计算某些常数
    gamma = 0.5
    beta = 0.25
    # 初始化数组
    displacements = np.zeros(num_steps)
    velocities = np.zeros(num_steps)
    accelerations = np.zeros(num_steps)
    # 初始化位移，速度和加速度
    displacements[0] = initial_displacement
    velocities[0] = initial_velocity
    # 迭代计算位移，速度和加速度
    for i in range(1, num_steps):
        acceleration = (stiffness/mass)*(displacements[i-1] - displacements[i-2]) - (2*stiffness/mass)*velocities[i-1] + (stiffness/mass)*velocities[i-2]
        velocity = velocities[i-1] + (1-gamma)*time_step*accelerations[i-1] + gamma*time_step*acceleration
        displacement = displacements[i-1] + time_step*velocities[i-1] + (0.5-beta)*time_step**2*accelerations[i-1] + beta*time_step**2*acceleration
        accelerations[i] = acceleration
        velocities[i] = velocity
        displacements[i] = displacement
    return displacements, velocities, accelerations

4. 调用上面的函数，并对计算的位移，速度